With over 12 years of trial and error, one engineer discovered the key skills and strategies that truly matter when trying to break into automation. In this guide, we will explore the three main industries within automation, the essential skills that form a strong foundation, and actionable strategies to secure full-time positions or build a successful business in this field.

Understanding the Three Main Sectors in Automation

Before diving into the skills and strategies needed for success, it’s crucial to identify which sector within automation interests you the most. While skills are transferable across sectors, choosing a starting point can help streamline your career trajectory.

1. Smart Home Automation: The Residential Market

Smart home automation is a rapidly growing sector, yet it remains a niche market. Unlike off-the-shelf consumer-grade products like Ring doorbells or Philips Hue lightbulbs, professional home automation involves complex system integration.

Pros:

• Growing market with increasing demand
• Opportunity to work with cutting-edge technology
• High-end clients willing to invest in premium solutions

Cons:

• Limited market size, primarily catering to wealthier individuals
• Requires strong sales skills to communicate value effectively
• More challenging to scale compared to other automation sectors

2. Building Management Systems (BMS): The Commercial Sector

BMS focuses on large commercial buildings such as hotels, schools, and shopping centers. These systems optimize energy consumption by intelligently managing heating, ventilation, air conditioning, and other utilities.

Pros:

• High demand across commercial properties
• Strong government incentives for energy efficiency
• Clear return on investment for clients, making it an easier sell

Cons:

• Requires in-depth knowledge of control systems
• Can be complex due to integration with various building infrastructures

3. Industrial Automation: The Backbone of Manufacturing

Industrial automation is the most established sector, encompassing manufacturing, food processing, pharmaceuticals, and automotive industries. Here, automation is focused on streamlining production processes and reducing operational costs.

Pros:

• The largest market with vast opportunities
• High job stability due to industry demand
• Clear ROI for businesses, making automation solutions highly valuable

Cons:

• Requires technical expertise in control systems and machinery
• Can involve rigorous troubleshooting and maintenance work

The Essential Skills for a Successful Automation Career

Breaking into automation is not just about getting a degree—it’s about developing the right skills in the right order. By focusing on foundational skills first, you can fast-track your career while avoiding common pitfalls.

1. Electrical Schematics: The First Building Block

Understanding how to read and interpret electrical schematics is the cornerstone of automation. Schematics provide the blueprint for electrical systems, and without this knowledge, navigating the industry becomes significantly harder.

How to Learn:

• Study real-world schematics from automation projects
• Use online resources or courses focused on electrical diagrams
• Work with a mentor or hands-on projects to reinforce learning

2. Control Panels: Bridging Theory and Practice

Once you understand electrical schematics, the next step is learning how control panels function. Control panels house the electrical components that manage automation systems, and understanding their layout is critical for troubleshooting and system design.

Best Learning Methods:

• Examine physical control panels and compare them with schematics
• Build small-scale control panels for practice
• Watch tutorials and training videos on panel design and wiring

3. PLC Programming: The Heart of Automation

Programmable Logic Controllers (PLCs) are the brain of automation systems. While many newcomers are tempted to jump straight into PLC programming, it’s essential to build a strong foundation first. Without understanding schematics and control panels, programming will lack real-world application.

Learning Approach:

• Start with basic logic programming (ladder logic, function block diagrams, etc.)
• Practice with simulation software before working on real systems
• Work on hands-on projects that integrate hardware and software

Fast-Tracking Your Entry into the Automation Industry

1. Prioritize Hands-On Experience Over Theory

While theory is valuable, practical experience is what truly sets you apart in the industry. Whether it’s installing automation systems in your own home, working on small-scale projects, or securing an apprenticeship, hands-on work accelerates your learning curve.

2. Don’t Rely on a University Degree

Contrary to popular belief, most successful professionals in automation do not have formal university degrees in electrical engineering. Instead, they focus on acquiring relevant skills and building real-world experience.

Why a University Degree Isn’t Necessary:

• Employers prioritize hands-on skills over academic qualifications
• University degrees require significant time and financial investment
• Industry certifications and practical experience carry more weight

3. Take a Financial Step Back If Necessary

If securing an entry-level position means taking a pay cut initially, consider it an investment in your future. Many engineers find that gaining experience as a trainee or junior engineer pays off significantly in the long run.

4. Build a Portfolio and Network

If you’re looking to enter the industry as a freelancer or business owner, clients rarely ask for formal qualifications. Instead, they want proof that you can deliver results.

How to Build Credibility:

• Create a portfolio showcasing past projects and solutions
• Join industry groups and engage in networking events
• Offer value through blogs, tutorials, or social media insights

Final Thoughts: Take Action Today

The automation industry is evolving rapidly, and those who take a strategic approach can break in faster than ever before. By focusing on the right skills, gaining hands-on experience, and networking effectively, you can accelerate your career without the traditional 12-year grind.

If you’re serious about entering the industry, start today—study schematics, examine control panels, or join a community of like-minded professionals. The future of automation is bright, and with the right approach, your place in it is well within reach.

The post The quickest way to learn automation and get a job – Complete guide appeared first on RoboticsBiz.

The world of work is rapidly changing, driven by advancements in technology and new business models. By 2025, many roles will be in high demand, with impressive salaries. What’s more exciting is that many positions don’t require decades of experience or complex coding skills. Whether you’re looking to switch careers or take your existing role to the next level, this article outlines the top 10 high-paying jobs for 2025, what skills you’ll need, and how you can transition smoothly into these in-demand fields.

1. AI & Machine Learning Engineers

As technology becomes more integrated into everyday life, the role of Artificial Intelligence (AI) and Machine Learning (ML) engineers is rapidly growing. These professionals are responsible for designing and deploying AI systems that can independently learn and solve complex problems. From self-driving cars to virtual assistants like Siri, AI engineers are building the next generation of smart systems.

In terms of earning potential, AI and ML engineers are some of the highest-paid professionals in 2025. In India, entry-level salaries start from ₹5–18 lakh, while in the US, they can range between $120,000–$140,000. As experience grows, professionals in this field can expect to earn up to ₹25–50 lakh in India and $150,000–$160,000 in the US.

To get started in AI/ML, aspiring engineers should focus on mastering Python, machine learning algorithms, deep learning, and AI frameworks like TensorFlow and PyTorch. If you’re already in software development or data science, expanding your skill set in AI-related projects and taking specialized courses will give you a solid foundation for entering this high-paying role.

2. Data Scientists

Data scientists turn raw data into actionable insights that can drive business decisions. For instance, when Netflix recommends a show based on your viewing habits, it’s the work of a data scientist building predictive models. This field intersects with statistics, programming, and business intelligence.

Data scientists are in high demand, with entry-level salaries ranging from ₹8–12 lakh in India and $100,000–$125,000 in the US. With experience, salaries can soar to ₹18–25 lakh in India and $130,000–$150,000 in the US.

You’ll need proficiency in Python, machine learning, data visualization tools like Tableau, and statistics to break into this field. If you’re already a data analyst, transitioning to a data scientist role can be achieved by participating in data science competitions (such as Kaggle) or working on real-world data science projects.

3. Cybersecurity Specialists

As cyber threats continue to grow, cybersecurity specialists are becoming invaluable. These professionals design protocols to protect networks and data from unauthorized access, hacking, and malware. In an era of digital transformation, ensuring the integrity of data and maintaining system security is more critical than ever.

The demand for cybersecurity experts is expected to rise, with salaries ranging from ₹5–10 lakh in India and $70,000–$90,000 in the US at entry level. With experience, these figures can grow to ₹18–25 lakh in India and $120,000–$150,000 in the US.

To enter this field, you’ll need networking, system administration, ethical hacking, cryptography, and incident response expertise. Certifications like Certified Information Systems Security Professional (CISSP) or Certified Ethical Hacker (CEH) enhance your qualifications.

4. Software Architects

Software architects design the high-level structure of software systems, ensuring that they meet both technical and business requirements. They work on large-scale systems that need to scale and remain stable under pressure—think Uber or Amazon.

Entry-level software architects earn ₹10–15 lakh in India and $130,000–$150,000 in the US, with more experienced professionals earning up to ₹20–45 lakh and $160,000–$180,000, respectively.

To become a software architect, you need a deep understanding of system design, programming languages like Java or Python, and architectural patterns. If you’re already a developer, taking on leadership roles in projects and studying system design can prepare you for this high-paying role.

5. Blockchain Developers

Blockchain is a decentralized ledger technology that powers cryptocurrencies like Bitcoin and Ethereum. However, by 2025, blockchain’s application will extend far beyond digital currencies and will be used for secure transactions in sectors like supply chain management, healthcare, and banking.

Blockchain developers responsible for creating smart contracts and decentralized applications (DApps) will continue to be in high demand. In India, entry-level salaries range from ₹5–12 lakh, while in the US, they range from $85,000–$110,000. Experienced blockchain developers can earn up to ₹15–21 lakh in India and $120,000–$160,000 in the US.

You should learn Solidity (for smart contracts), cryptography, Ethereum, and distributed computing to get into blockchain development. Start by contributing to open-source blockchain projects or building your blockchain applications.

6. Product Managers

Product managers are responsible for the entire lifecycle of a product, from concept to launch. They coordinate with cross-functional teams to ensure a product meets customer needs and business objectives. A great example is when Instagram rolls out a new feature—product managers ensure it’s successfully integrated.

Product managers in India can earn ₹10–15 lakh at the entry-level and $90,000–$110,000 in the US. With experience, salaries increase to ₹20–35 lakh in India and $130,000–$160,000 in the US.

To transition into product management, you’ll need strong skills in agile methodology, product development, leadership, and data analysis. If you’re already managing a product feature or project, aim for ownership of more significant initiatives and consider certifications in scrum or agile.

7. Digital Marketing Specialists

Digital marketing specialists are key in building brand presence and driving customer engagement through online channels like SEO, social media, and email campaigns. Their work is essential for boosting sales and expanding customer bases.

The entry-level salary for digital marketers in India ranges from ₹3–6 lakh; in the US, it’s between $50,000–$70,000. With experience, earnings can rise to ₹10–18 lakh in India and $90,000–$120,000 in the US.

A strong understanding of SEO, paid advertising (PPC), content marketing, and analytics tools is necessary for this role. Building expertise in these areas will give you a competitive edge and help you command a higher salary.

8. Cloud Architects & DevOps Engineers

Cloud computing is rapidly growing, with businesses increasingly migrating to the cloud. Cloud architects design the infrastructure that powers the cloud, ensuring it’s secure, scalable, and cost-effective. On the other hand, DevOps engineers focus on automating software delivery and system reliability.

At the entry level, cloud architects can expect to earn ₹7.5–18 lakh in India and $140,000–$160,000 in the US, with experienced professionals earning up to ₹25–56 lakh in India and $180,000–$200,000 in the US. DevOps engineers earn between ₹4.2–8 lakh in India and $100,000–$120,000 in the US, with experienced professionals making up to ₹10–18 lakh in India and $130,000–$150,000 in the US.

To pursue a career in cloud architecture or DevOps, certifications in AWS, Google Cloud, and Azure and familiarity with tools like Docker, Kubernetes, and Jenkins are highly recommended.

9. Data Engineers

Data engineers build the infrastructure and pipelines that allow organizations to collect, process, and analyze massive amounts of data. As the world becomes more data-driven, the demand for skilled data engineers will continue to rise. They play a critical role in managing databases and ensuring data flows seamlessly.

In India, entry-level data engineers earn ₹5–10 lakh, while in the US, salaries start at $100,000–$115,000. With experience, data engineers can earn up to ₹15–25 lakh in India and $120,000–$140,000 in the US.

Proficiency in SQL, Python, and data warehousing tools like Hadoop or Spark is essential to entering this field. Gaining hands-on experience with big data systems and cloud platforms such as AWS is a great way to start.

10. Project Managers

Project managers oversee the completion of projects, ensuring they’re delivered on time, within budget, and meet specific goals. Whether launching a new app feature or organizing a large-scale event, project managers coordinate teams and resources to ensure everything runs smoothly.

Entry-level project managers in India earn ₹8–12 lakh, while salaries in the US range from $85,000–$100,000. Experienced project managers can earn up to ₹15–30 lakh in India and $110,000–$125,000 in the US.

To become a project manager, you’ll need to gain expertise in agile methodology, risk management, and project management tools like Jira. Pursuing certifications like PMP or Scrum Master can give you a competitive advantage.

Conclusion

In 2025, the job market will present many opportunities across various high-paying fields, from AI and cybersecurity to digital marketing and cloud computing. The key to securing these roles is staying ahead of the curve by continuously upgrading your skills, gaining hands-on experience, and building a network within your chosen industry.

Take the first step today to position yourself for success in the high-paying careers of tomorrow. Whether through upskilling, certifications, or gaining practical experience, investing in your professional growth will pay off through lucrative job offers and long-term career satisfaction.

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The Traditional Job Application Path

Traditionally, the process of job hunting was straightforward:

• Update your resume.
• Apply through job portals or LinkedIn.
• Wait for recruiters to shortlist your profile.
• Prepare for interviews.

While this process is still relevant, it’s no longer enough in a world where fierce competition and applicant-tracking systems (ATS) filter through hundreds of resumes to find the perfect match. You must adopt a more dynamic and interactive approach to stand out truly.

The Rise of a New Era in Job Applications

In today’s interconnected world, the rules of job hunting have changed. It’s about more than applying for roles—showcasing your expertise and building a strong professional brand. Here are some fresh approaches to getting noticed:

1. Leverage Social Media to Showcase Your Skills

Platforms like LinkedIn and Twitter are no longer just networking spaces but arenas to demonstrate your skills and thought leadership. Sharing insights, projects, and innovative ideas can lead to unexpected opportunities.

Take Banu, for example, who provided thoughtful feedback on a CEO’s product update on Twitter. His insights were so valuable that the CEO reached out to ask if they could work together. This interaction highlights how engaging with industry leaders online can open doors you might never have imagined.

2. Build and Share Practical Projects

Instead of just listing skills on your resume, show them in action. Create end-to-end projects that reflect your expertise and post them online. One individual, for example, showcased his full-stack development skills by building a chatbot. The hiring manager was so impressed that they bypassed the usual recruitment process, offering him a job based solely on his project.

Sharing your projects on platforms like GitHub, LinkedIn, or even personal blogs can be incredibly impactful. It demonstrates initiative, problem-solving skills, and the ability to deliver results—qualities every employer values.

3. Become Proactive in Learning and Sharing

Continuous learning is essential in the tech, AI, and data science industries. But the key isn’t just to learn—it’s to share. If you’ve explored a new framework, tool, or technology, showcase your findings through tutorials, blogs, or videos.

For example, a developer who mastered Streamlit by building unique applications eventually attracted the attention of Streamlit itself, resulting in a job offer. They created their own opportunities by positioning themselves as an expert in a niche.

4. Direct Engagement with Companies

Instead of sending a generic resume, tailor your approach. Understand a company’s challenges and present a solution. One way is to build a prototype that addresses their specific needs. A proactive candidate delivering results upfront is far more likely to be noticed than one applying through a portal.

Why This Approach Works

Several factors drive the shift towards this more interactive, visible process:

• Direct Value Demonstration: Employers want to see what you can deliver before hiring you.
• Social Proof: A strong presence on LinkedIn or other platforms establishes credibility.
• Network Effect: Sharing projects and engaging online increases your visibility, attracting recruiters and opportunities.

Practical Steps to Get Started

• Build a Professional Online Presence: Optimize your LinkedIn profile, post regularly, and engage with relevant content.
• Develop Real-World Projects: Work on meaningful projects that showcase your skills. Share these on GitHub and social media.
• Be Visible and Proactive: Engage with industry leaders on platforms like LinkedIn and Twitter. Provide insightful comments and suggestions.
• Focus on Niche Expertise: Dive deep into trending topics like generative AI, MLOps, or computer vision. Create and share content showcasing your knowledge.
• Document Your Work: Use videos, blogs, or posts to explain what you’ve built and how it adds value.

A Future-Proof Approach

The future of hiring is about creating visibility, adding value, and making meaningful connections. By blending traditional application methods with proactive showcasing of your skills, you can significantly improve your chances of getting hired.

Remember, the world is watching—make sure they see your best version. Start building, sharing, and engaging today. Opportunities are just a post away!

The post A new, efficient way of applying for jobs and getting hired appeared first on RoboticsBiz.

As AI becomes more advanced, the job market will see the emergence of positions that require a deep understanding of AI tools, ethical considerations, and innovative applications in 2025. From AI trainers and ethics consultants to digital twin architects and emotion recognition specialists, these new roles highlight how AI transforms industries and the future of work transforms sectors and the future of work. These careers allow individuals to shape the development of AI and ensure its responsible use while offering new, fulfilling job opportunities that leverage both human intelligence and machine learning.

In this list, we highlight 20 new emerging jobs created by AI in 2025, showcasing the tremendous potential AI holds as both a driver of economic growth and a creator of dynamic careers. Whether you’re looking to explore a career in AI or simply curious about the impact of this technology, the following positions offer a glimpse into the exciting possibilities ahead.

1. AI Prompt Engineer

An AI Prompt Engineer specializes in designing precise and practical input, or prompts, for generative AI models to achieve desired outcomes. They experiment with language structures, parameters, and contextual cues to optimize AI outputs for applications like content creation, coding assistance, or customer service. These professionals also collaborate with teams to customize prompts for specific industries or business needs and maintain a repository of effective prompts for various use cases.

2. AI Model Trainer

AI Model Trainers focus on fine-tuning AI algorithms to suit specific applications by feeding them curated datasets and adjusting model parameters. Their duties include preparing datasets, training models to improve accuracy, and testing for reliability. They also adapt pre-trained models to meet unique business or industry requirements, ensuring that AI systems are efficient, relevant, and responsive to real-world scenarios.

3. AI Ethics Consultant

AI Ethics Consultants ensure that AI technologies are developed and deployed responsibly. They assess potential biases, transparency, and fairness in AI systems while advising organizations on ethical dilemmas. Their responsibilities include developing guidelines, ensuring compliance with global AI regulations, and leading workshops to educate teams on ethical AI practices. They play a critical role in aligning AI innovations with societal values.

4. AI Behavior Analyst

AI Behavior Analysts study and evaluate the decision-making processes of AI systems to ensure they behave as expected and align with user intent. Their work involves analyzing AI responses, identifying discrepancies or unintended consequences, and fine-tuning algorithms. They also provide feedback to developers for improving system behavior and work to make AI interactions more intuitive and human-like.

5. Synthetic Media Designer

Synthetic Media Designers create AI-generated multimedia content, including videos, animations, voiceovers, and realistic imagery. They use advanced AI tools to develop engaging visuals and sounds for marketing, entertainment, and education. Their work involves creative and technical skills, ensuring the generated content meets brand or audience expectations while maintaining authenticity.

6. AI Integration Specialist

AI Integration Specialists bridge the gap between AI technologies and existing systems by ensuring seamless implementation. They work on integrating AI solutions into software platforms, hardware systems, and organizational workflows. Their responsibilities include system compatibility checks, deployment support, and training end-users to maximize the potential of AI tools.

7. Digital Twin Architect

Digital Twin Architects design virtual models of real-world systems, such as factories, cities, or products, to simulate and optimize their performance. They use AI to monitor, predict, and improve real-time operations. Responsibilities include collecting data, building virtual environments, and maintaining synchronization between digital and physical entities to enhance efficiency and innovation.

8. AI Safety Analyst

AI Safety Analysts focus on identifying and mitigating risks associated with AI systems. They evaluate AI performance for potential biases, security vulnerabilities, and ethical concerns. Their role involves developing risk assessment protocols, ensuring AI compliance with safety standards, and collaborating with developers to improve system reliability.

9. Human-AI Collaboration Facilitator

Human-AI Collaboration Facilitators enable organizations to leverage AI effectively alongside human talent. They design strategies for task distribution between humans and machines, train employees on AI tools, and address concerns related to AI adoption. Their work ensures a harmonious and productive synergy between human creativity and AI efficiency.

10. Generative AI Educator

Generative AI Educators create and deliver training programs using generative AI tools for business, education, or personal projects. They design workshops, create learning materials, and guide individuals in harnessing AI capabilities for creative or functional purposes. Their role often involves staying updated on AI trends to incorporate the latest advancements into their teaching.

11. AI-Powered Content Curator

AI-Powered Content Curators leverage AI to analyze trends and personalize content for specific audiences. They use AI tools to gather, filter, and present content that aligns with user preferences or brand objectives. Their responsibilities include maintaining quality, relevance, and engagement while ensuring unbiased AI-generated recommendations.

12. AI-Generated Experience Designer

AI-generated experience Designers use AI to craft immersive and personalized experiences in gaming, VR, or customer engagement. They design interactive AI-driven narratives, simulations, or environments tailored to individual user preferences. Their work involves creative storytelling, technical AI knowledge, and a deep understanding of user experience.

13. AI Accountability Auditor

AI Accountability Auditors review and evaluate AI systems for compliance with ethical, legal, and operational standards. They conduct audits to ensure transparency, fairness, and security. Their duties include preparing detailed reports, suggesting corrective measures, and staying updated on AI regulations to guide organizations effectively.

14. AI Personalization Strategist

AI Personalization Strategists use AI-driven insights to customize products, services, or customer interactions. They analyze user data to design personalized recommendations, marketing campaigns, or product features. Their role requires balancing AI-driven decisions with human creativity to create unique, customer-centric experiences.

15. Data-Ecosystem Manager

Data-ecosystem managers oversee the data lifecycle used in AI systems, ensuring quality, security, and compliance. They manage data pipelines, monitor data health, and implement governance frameworks. Their role is vital for maintaining the integrity of AI models and adhering to privacy regulations.

16. Generative AI Voice Coach

Generative AI Voice Coaches train AI systems to produce realistic and emotionally resonant voices. They fine-tune AI models for specific tones, accents, or emotions, ensuring high-quality audio output. They collaborate with linguists, voice artists, and developers to create natural and effective voiceovers.

17. AI Storyteller

AI Storytellers combine human creativity with AI tools to craft compelling narratives for media, entertainment, and advertising. They guide AI-generated content to align with desired themes, styles, and emotional tones. Their responsibilities include editing, directing, and refining AI outputs to create engaging and cohesive stories.

18. AI-Enhanced Productivity Coach

AI-Enhanced Productivity Coaches train individuals and teams to optimize workflows using AI tools. They analyze tasks, recommend AI solutions, and provide ongoing support to maximize efficiency. Their role includes staying updated on emerging AI tools and customizing recommendations to fit specific needs.

19. Emotion Recognition Specialist

Emotion Recognition Specialists develop AI systems capable of detecting and analyzing human emotions. They train models using voice, facial expressions, and behavioral data to improve applications in customer service, mental health, and marketing. Their work includes refining algorithms to ensure sensitivity and accuracy in emotional analysis.

20. AI Bias Remediation Specialist

AI Bias Remediation Specialists identify and address biases in AI algorithms to ensure fairness and inclusivity. They audit datasets, develop mitigation strategies, and collaborate with developers to enhance model performance. Their role ensures AI systems make unbiased decisions, fostering trust and equity.

Conclusion

The rise of AI in 2025 is undeniably transforming the job market, not just by automating tasks but by creating entirely new career paths. These emerging roles present unique opportunities for individuals to engage with AI in ways that blend technology with human creativity, ethics, and problem-solving. As AI continues to grow, it will only open up more avenues for those ready to embrace the future of work.

Rather than fearing job loss, the advent of AI offers a chance for professionals to adapt, upskill, and thrive in a tech-powered world. The 20 jobs outlined in this list are just the beginning, highlighting the diverse roles essential in shaping a future where AI works alongside humans to achieve greater efficiency, innovation, and societal impact. By preparing for these opportunities, individuals can position themselves at the forefront of a technological revolution, making AI a tool for progress and a catalyst for career growth and fulfillment.

The post 20 emerging jobs created by artificial intelligence (AI) in 2025 appeared first on RoboticsBiz.

Key Findings:

The study reveals that automation will impact men and women differently:

• Vulnerability of Women’s Jobs: Women-dominated roles such as cashiers, secretaries, and bookkeeping clerks are highly susceptible to automation. These positions rely heavily on repetitive and predictable tasks and are prime candidates for automation technologies.
• Limited Job Mobility for Women: Women are less likely to work in positions with a lower risk of automation, such as driving jobs. Consequently, their job opportunities are largely confined to roles more vulnerable to technological displacement.
• Disparity in Job Transition: Men have greater flexibility to transition between different fields, mitigating the impact of automation on their careers. In contrast, women face greater challenges in shifting to new roles less susceptible to automation.
• Generative AI’s Gendered Impact: A recent study highlights that generative AI could disproportionately affect women. Professor Mark McNeilly notes that 70% of women’s jobs are in white-collar sectors prone to cognitive automation, compared to a more balanced 50-50 split between white and blue-collar jobs for men. Consequently, the impact of AI-driven automation is expected to hit women harder.
• Sector-Specific Risks: Office administrative support, healthcare, education, and community services, where women are overrepresented, are anticipated to face significant disruptions due to AI adoption.

Broader Implications

A report by the UK’s National Statistics Office (ONS) indicates that 1.5 million British jobs are at high risk of automation, with women and young workers being the most vulnerable. Women currently hold more than 70% of these high-risk jobs, and 16% of employed individuals aged 20-24 are likely to be affected.

The World Economic Forum’s “Future of Jobs Report” echoes these findings, predicting that nearly 50% of companies worldwide expect automation to reduce their full-time workforce by 2022. While new roles may emerge from automation, the skills required will evolve significantly.

Understanding the Vulnerability of Women’s Jobs to Automation

The increased risk of automation in women’s jobs can be attributed to several factors related to the nature of their work, occupational segregation, and the types of tasks typically performed in female-dominated roles. Here are the key reasons:

1. Nature of Work

Many jobs predominantly held by women involve repetitive and predictable tasks that are easier to automate. Roles such as cashiers, secretaries, and bookkeeping clerks involve tasks that highly efficient automated systems can perform. These positions require routine administrative or clerical duties, particularly susceptible to technological replacement.

2. Occupational Segregation

The labor market is highly gender-segregated, with women and men often working in different sectors and roles. Women are overrepresented in office and administrative support positions, healthcare, education, and community and social services—fields increasingly targeted by automation technologies. For example:

• Office and Administrative Support: 70% of these roles are filled by women, and many of these tasks can be automated through software and AI solutions.
• Healthcare: Women comprise 76% of the workforce in this sector, where AI can automate tasks such as patient data entry, scheduling, and even preliminary diagnostics.
• Education and Social Services: These fields, heavily staffed by women, are also seeing the introduction of AI-driven tools that can automate administrative tasks and provide educational support.

3. Cognitive Automation

Women are more likely to work in cognitive roles that involve processing information, managing records, and performing administrative duties. Generative AI and other advanced technologies are increasingly automating these cognitive tasks. For instance, AI can handle customer inquiries, manage schedules, and process transactions, significantly impacting roles such as customer service representatives and administrative assistants.

4. Limited Mobility in Job Transition

Women often face greater challenges in transitioning to new fields compared to men. Men have historically had more opportunities to move between different industries and roles, reducing their vulnerability to automation. Women’s careers, however, tend to be more concentrated in sectors that are both highly susceptible to automation and less dynamic in terms of job mobility.

5. Economic and Social Factors

Women are often constrained by economic and social factors that limit their ability to adapt to technological changes. These include:

• Lower Access to Training: Women may have less training and professional development opportunities crucial for transitioning to new, technology-driven roles.
• Care Responsibilities: Women are more likely to shoulder most childcare and eldercare responsibilities, which can limit their ability to seek retraining or pursue careers in more dynamic and less automatable fields.
• Wage Disparities: Women generally earn less than men, which can limit their resources to invest in further education and skill development.

6. Underrepresentation in Tech Fields

Despite the growing importance of digital skills, women are significantly underrepresented in high-tech jobs and less prone to automation. The study notes that even though women work extensively with computers and digital media, they are still a minority in the highest-paid tech occupations, such as software developers and computer scientists. This underrepresentation in tech fields reduces women’s opportunities to transition into roles that are both lucrative and less likely to be automated.

7. Impact of Generative AI

The rise of generative AI has specific implications for women’s employment. Generative AI can automate tasks that involve language processing, data analysis, and content creation—areas where many women currently work. This technology’s capability to perform cognitive tasks means that jobs like administrative support and customer service, predominantly held by women, are particularly at risk.

Adapting to Automation

Despite the risks, there are strategies to adapt to the changing job market. Historical trends show that technological advancements, while disruptive, also create new job opportunities. For instance, generative AI can automate mundane tasks, allowing workers to focus on more complex and meaningful aspects of their jobs.

In healthcare, AI could assist professionals by answering patient questions and offering diagnostic support, enhancing the quality of care and job satisfaction. This shift underscores the importance of embracing new technologies and acquiring relevant skills to stay competitive in the evolving job market.

Policy Recommendations

The IWPR report suggests several policy measures to mitigate the impact of automation on women’s jobs:

• Skills Development: Expand access to affordable education and training, particularly in digital literacy and advanced technological skills. This includes on-the-job training to help workers adapt to new roles.
• Job Quality Improvement: Enhance the quality of traditionally female-dominated jobs, such as child and elder care, by increasing investments in these sectors and promoting technological innovations to improve job conditions.
• Representation in Tech: Accelerate efforts to increase the representation of women and minorities in high-tech jobs through targeted training programs and initiatives.
• Income and Job Security: Provide comprehensive benefits, such as paid leave and child care, to all workers, including those in gig and part-time roles. Promote policies that facilitate a more equitable distribution of care responsibilities between men and women.
• Inclusive Technological Development: Encourage the creation of technologies that complement human work rather than replace it, ensuring that workers can focus on more complex and rewarding tasks.

Conclusion

Integrating automation and AI into the workforce presents challenges and opportunities. While women’s jobs are particularly risky, proactive policies and strategic adaptations can help mitigate these risks and ensure a more equitable and resilient job market. Policymakers, businesses, and educational institutions must collaborate to foster an inclusive environment that supports all workers in navigating the future of work.

The post Why do women’s jobs face the greatest risk of automation? appeared first on RoboticsBiz.

Application Security Engineer:

These professionals are tasked with the development of secure software and applications. They analyze code, identify vulnerabilities, and implement robust security measures to mitigate risks. Application Security Engineers collaborate with development teams to integrate security practices throughout the software development lifecycle, ensuring that applications are resilient to cyber threats.

• Qualifications: Bachelor’s degree in Computer Science, Information Security, or related field. Experience in software development and secure coding practices. Strong understanding of security vulnerabilities and threats.
• Salary: $71,000 – $130,000

Artificial Intelligence Security Specialist:

These specialists leverage AI technologies to combat cybercrime by developing sophisticated algorithms to detect anomalies and identify malicious activities. They design and implement AI-driven security solutions, such as anomaly detection systems and behavior analysis tools, to enhance cyber defense mechanisms.

• Qualifications: Bachelor’s degree in Computer Science or related field. Experience with artificial intelligence and machine learning. Understanding of cybersecurity threats and solutions.
• Salary: $85,000 – $150,000

Automotive Security Engineer:

With the proliferation of connected cars, Automotive Security Engineers focus on protecting vehicles from cyber intrusions. They assess potential vulnerabilities in automotive systems, develop security protocols for vehicle networks, and collaborate with manufacturers to implement robust cybersecurity measures, safeguarding against cyber attacks targeting modern automobiles.

• Qualifications: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. Understanding of automotive electronics and embedded systems. Experience with security testing and vulnerability analysis. Knowledge of automotive cybersecurity standards.
• Salary: $80,000 – $140,000+

Blockchain Developer / Engineer:

In the realm of secure transactions, Blockchain Developers play a pivotal role in coding decentralized systems. They design and implement blockchain protocols, ensuring the integrity and confidentiality of transactions. By leveraging cryptographic techniques, they create immutable ledgers that resist tampering and provide secure transactional environments.

• Qualifications: Bachelor’s degree in Computer Science or related field. Strong understanding of blockchain technology and cryptography. Experience in programming languages used for blockchain development (e.g., Solidity).
• Salary: $90,000 – $160,000+

Blue Team Member:

As the defensive arm of cybersecurity, Blue Team Members design and implement defensive measures to harden operating systems and networks against cyber threats. They conduct vulnerability assessments, deploy security patches, and monitor network traffic for suspicious activities. Blue Team Members also collaborate with Incident Response teams to swiftly respond to cyber incidents and mitigate their impact.

• Qualifications: Bachelor’s degree in Computer Science, Information Security, or related field. Experience with security tools and technologies (firewalls, intrusion detection systems). Strong understanding of network security concepts.
• Salary: $65,000 – $120,000+

Bug Bounty Hunter:

Freelance hackers, known as Bug Bounty Hunters, play a unique role in cybersecurity by identifying vulnerabilities in software and systems. They participate in bug bounty programs offered by organizations, discovering and reporting security flaws in exchange for monetary rewards or recognition. Bug Bounty Hunters aid in improving the overall security posture of applications and platforms by uncovering hidden vulnerabilities before malicious actors exploit them.

• Qualifications: Experience in penetration testing and vulnerability discovery. Strong understanding of coding practices and security vulnerabilities.
• Salary: Varies

Cyber Insurance Policy Specialist:

With the increasing prevalence of cyber threats, organizations turn to Cyber Insurance Policy Specialists for risk management and liability protection guidance. These specialists consult with clients to assess their cyber risk exposure, recommend appropriate insurance coverage, and negotiate policy terms with insurance providers. They are vital in helping organizations mitigate financial losses from cyber incidents.

• Qualifications: Bachelor’s degree in Business Administration, Risk Management, or related field. Understanding of cyber risks and insurance products. Strong communication and negotiation skills.
• Salary: $75,000 – $135,000+

Chief Information Security Officer (CISO):

As the head of cybersecurity, the Chief Information Security Officer (CISO) oversees all aspects of an organization’s cybersecurity strategy. They develop and implement cybersecurity policies, ensure compliance with regulatory requirements, and manage incident response procedures. CISOs also liaise with executive leadership to align cybersecurity initiatives with business objectives and mitigate cyber risks effectively.

• Qualifications: Extensive experience in cybersecurity leadership and management. Master’s degree in Information Security or related field preferred. Strong understanding of cybersecurity frameworks and regulations.
• Salary: $150,000 – $300,000+

Chief Security Officer (CSO):

Responsible for physical and cybersecurity, the Chief Security Officer (CSO) provides strategic leadership in safeguarding an organization’s assets. They develop comprehensive security strategies, oversee security operations, and manage security personnel. CSOs also collaborate with other C-suite executives to integrate security measures into business processes and mitigate security risks across the organization.

• Qualifications: Extensive experience in security leadership and management across physical and cyber domains. Executive-level experience and business acumen.
• Salary: $175,000 – $400,000

Cloud Security Architect:

With the adoption of cloud computing, Cloud Security Architects specialize in securing applications and data hosted in cloud environments. They design and implement cloud security architectures, enforce access controls, and implement encryption mechanisms to protect data confidentiality. Cloud Security Architects also monitor cloud infrastructure for vulnerabilities and ensure compliance with cloud security best practices.

• Qualifications: Bachelor’s degree in Computer Science or Information Security. Experience with cloud security concepts and technologies. Certifications in cloud security (AWS Security Specialty, Azure Security Engineer).
• Salary: $95,000 – $170,000+

Counterespionage Analyst:

Counterespionage Analysts focus on thwarting cyber spies from hostile nation-states or malicious entities. They analyze cyber threats from foreign adversaries, identify espionage attempts, and develop countermeasures to protect sensitive information. Counterespionage Analysts collaborate with intelligence agencies and law enforcement to mitigate the impact of cyber espionage activities.

• Qualifications: Bachelor’s degree in Computer Science, International Relations, or a related field. Experience in intelligence analysis and research. Understanding of espionage techniques and geopolitical issues. Fluency in foreign languages may be preferred.
• Salary: $80,000 – $140,000+

Cryptanalyst:

Cryptanalysts specialize in deciphering coded messages without access to cryptographic keys. They employ mathematical algorithms and computational techniques to break encryption schemes and uncover plaintext messages. Cryptanalysts play a critical role in assessing the strength of cryptographic algorithms and identifying vulnerabilities in encryption protocols.

• Qualifications: Ph.D. in Mathematics, Computer Science, or Cryptography preferred. Expertise in cryptography algorithms and protocols. Strong analytical and problem-solving skills.
• Salary: $90,000 – $150,000+

Cryptographer:

Focused on protecting sensitive information, Cryptographers develop cryptographic systems to encrypt data and communications. They design encryption algorithms, develop cryptographic protocols, and implement cryptographic solutions to ensure data confidentiality and integrity. Cryptographers also research to advance the field of cryptography and mitigate emerging cryptographic threats.

• Qualifications: Ph.D. in Mathematics, Computer Science, or Cryptography preferred. Expertise in cryptography algorithms and protocols. Strong analytical and problem-solving skills.
• Salary: $85,000 – $145,000+

Cyber Intelligence Specialist:

Cyber Intelligence Specialists analyze cyber threats and adversaries’ tactics, techniques, and procedures (TTPs) to provide actionable intelligence to defend against cyber attacks. They monitor threat actors’ activities, gather intelligence from various sources, and produce threat assessments to inform defensive strategies. Cyber Intelligence Specialists are crucial in proactive threat detection and incident response.

• Qualifications: Bachelor’s degree in Computer Science, Information Security, or Intelligence Studies. Experience in threat intelligence analysis and research. Strong analytical and communication skills.
• Salary: $80,000 – $140,000+

Cyber Operations Specialist:

Tasked with conducting offensive cyberspace operations, Cyber Operations Specialists employ advanced techniques to disrupt adversaries’ networks and activities. They develop and execute offensive cyber campaigns, exploit vulnerabilities in adversary systems, and sabotage cyberinfrastructure. Cyber Operations Specialists operate within legal and ethical boundaries, adhering to rules of engagement in offensive cyber operations.

• Qualifications: Bachelor’s degree in Computer Science or related field. Experience with penetration testing and offensive security techniques. In-depth knowledge of network security concepts. (Government positions may require security clearances)
• Salary: $90,000 – $160,000+

Cybercrime Investigator:

Cybercrime Investigators specialize in solving crimes conducted in cyberspace. They gather digital evidence, analyze forensic data, and trace cybercriminal activities to identify perpetrators. Cybercrime Investigators collaborate with law enforcement agencies and digital forensics experts to prosecute cybercriminals and prevent future cybercrimes.

• Qualifications: Bachelor’s degree in Computer Science, Criminal Justice, or related field. Experience in digital forensics and evidence collection. Understanding of cybercrime laws and procedures.
• Salary: $75,000 – $130,000+

Cybersecurity Hardware Engineer:

Cybersecurity Hardware Engineers develop security solutions for computer hardware, including processors, microcontrollers, and embedded systems. They design hardware-based security features, such as secure boot mechanisms and cryptographic accelerators, to protect against hardware-level attacks. Cybersecurity Hardware Engineers also conduct security assessments of hardware components to identify and mitigate vulnerabilities.

• Qualifications: Bachelor’s degree in Computer Engineering, Electrical Engineering, or a related field. Strong understanding of computer hardware architecture and security principles. Experience with hardware design and development tools (e.g., FPGAs, ASICs). Knowledge of cryptography and secure coding practices. Familiarity with relevant security standards and best practices (e.g., Common Criteria for Information Technology Security Evaluation).
• Salary: $80,000 – $140,000

Cybersecurity Lawyer:

Specializing in information and cyber security law, Cybersecurity Lawyers provide legal counsel on matters related to cybersecurity and cybercrime. They advise clients on compliance with privacy regulations, draft cybersecurity policies and contracts, and represent clients in legal proceedings related to data breaches and cyber incidents. Cybersecurity Lawyers play a critical role in navigating the complex legal landscape of cybersecurity.

• Qualifications: Juris Doctor (JD) degree and bar licensure. Experience in information security law and data privacy regulations. Strong understanding of legal and technical aspects of cybersecurity.
• Salary: $90,000 – $200,000+

Cybersecurity Software Developer / Engineer:

Cybersecurity Software Developers integrate security features into software applications and systems to protect against cyber threats. They develop secure coding practices, implement security controls, and conduct security testing to identify and remediate software vulnerabilities. Cybersecurity Software Developers collaborate with cross-functional teams to ensure that security is integral to the software development lifecycle, from design to deployment.

• Qualifications: Bachelor’s degree in Computer Science or related field. Experience in software development and secure coding practices. Knowledge of security best practices for the software development lifecycle.
• Salary: $78,000 – $135,000+

Data Privacy Officer:

Data Privacy Officers ensure legal compliance with data protection regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). They develop and implement privacy policies, conduct impact assessments, and oversee data governance practices to protect individuals’ privacy rights. Data Privacy Officers also serve as liaisons between organizations and regulatory authorities on matters about data privacy.

• Qualifications: Bachelor’s degree in Computer Science, Law, or related field. Knowledge of data privacy regulations (e.g., GDPR, CCPA). Experience with data governance practices.
• Salary: $85,000 – $140,000+

Data Recovery Specialist:

In the aftermath of cyber incidents, Data Recovery Specialists play a critical role in recovering hacked data from digital devices. They employ forensic techniques to extract and reconstruct data from compromised systems, storage devices, and backups. Data Recovery Specialists work closely with Incident Response teams to restore data integrity and minimize data loss during cyber incidents.

• Qualifications: Bachelor’s degree in Computer Science or related field. Experience with data recovery techniques and forensic tools. Understanding of different storage devices and file systems.
• Salary: $68,000 – $125,000+

Data Security Analyst:

Data Security Analysts focus on protecting information stored on computers and networks from unauthorized access and disclosure. They monitor data flows, analyze access logs, and detect anomalous activities indicative of breaches or unauthorized access attempts. Data Security Analysts implement encryption, access controls, and data loss prevention (DLP) solutions to safeguard sensitive information.

• Qualifications: Bachelor’s degree in Computer Science, Information Security, or related field. Experience with security tools and technologies (firewalls, intrusion detection systems). Strong understanding of data security best practices.
• Salary: $65,000 – $115,000+

Digital Forensics Analyst:

Digital Forensics Analysts specialize in examining digital evidence containing traces of cybercrimes. They collect and analyze digital artifacts, such as log files, metadata, and file system data, to reconstruct cyber incidents and identify perpetrators. Digital Forensics Analysts use forensic tools and methodologies to preserve evidence integrity and produce forensic reports admissible in legal proceedings.

• Qualifications: Bachelor’s degree in Computer Science or related field. Experience with digital forensics tools and methodologies. Understanding of legal requirements for evidence handling.
• Salary: $70,000 – $120,000+

Disaster Recovery Specialist:

Disaster Recovery Specialists are responsible for planning and executing strategies to respond to data and system catastrophes, such as natural disasters, cyber-attacks, or hardware failures. They develop disaster recovery plans, implement backup and recovery solutions, and conduct periodic drills to test the readiness of recovery procedures. Disaster Recovery Specialists ensure business continuity and minimize downtime during critical system and service disruptions.

• Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field. Experience with disaster recovery planning and business continuity practices. Understanding of data backup and recovery solutions.
• Salary: $72,000 – $130,000+

In conclusion, the cybersecurity landscape is vast and multifaceted, encompassing various roles and titles. From safeguarding software applications to protecting sensitive data, each role plays a crucial part in defending against cyber threats and preserving the integrity of digital assets. As technology advances and cyber threats evolve, cybersecurity professionals will continue to adapt and innovate, ensuring the resilience and security of digital ecosystems worldwide.

The post Evolving cyber security jobs, roles, and responsibilities appeared first on RoboticsBiz.

Is Transitioning Into Robotics Worth It?

Globally, the robotics market is experiencing tremendous growth. It will have an annual growth rate of 2.83% from 2024 to 2028, meaning its value will surpass $10.41 billion in a few years. In other words, job security is all but guaranteed.

The pay is another draw for most people. In the U.S., a robotics engineer makes over $118,000 annually on average. On the high end, they net over $150,000 per year. Even those who don’t make six figures still have incredibly high salaries.

The robotics field offers lucrative career choices for almost any professional. Even without considering the high salaries and positive job outlook, the transition is still a good idea for many. After all, it offers the potential for a better working environment and growth opportunities.

Most people are relatively unhappy with their work and are looking for a change. Almost 70% of all working adults actively search for a new job while in their current role. In other words, the desire to enter a new career is normal. People who want to make the most out of their transition should consider the robotics field for its value and stability.

Is Robotics a Good Career Option?

Robotics is an excellent option for most people looking to change careers. Since robots are complex and in demand, numerous job opportunities exist. For example, a marketer could become a marketing and communications manager. Alternatively, a copywriter could become a technical writer. Even people who lack the traditional skillset can find success in this field.

Is It Hard to Get a Job in Robotics?

Truthfully, getting a job in the field of robotics can be challenging. Landing interviews and getting callbacks can be difficult unless candidates have a solid knowledge base, a strong skillset, and some hands-on experience.

That being said, getting hired with little to no hands-on experience is entirely possible. The Dean of Ohio State University’s College of Engineering said the job market is open for entry-level hires because corporations and startups value fresh ideas. They tend to favor novices for their technical talent.

Can You Get a Job in Robotics Without a Degree?

For the most part, the field of robotics is very complex — meaning transitioning careers without a relevant degree will be tough. While some jobs only require an associate’s degree, most need candidates to have at least a bachelor’s. For most jobs, a high school diploma won’t be enough.

While some education is essential, job seekers can still enter the field even if they didn’t originally major in a robotics-related discipline. Many businesses — especially startups — value experience and knowledge over a degree because they demonstrate drive and commitment.

People who improve skills, complete certifications, and intern have a better chance of getting hired despite a lack of education. In some cases, having a degree in a tangentially related discipline might make them a more competitive candidate. After all, it showcases their broad range of talents and expertise.

What You Need to Transition to a Career in Robotics

Professionals who want to change careers in robotics must have a certain education level, skill set, knowledge base, and work history.

Education

Most professionals in this field attended some kind of higher education institution. In fact, nearly 90% of robotics engineers have at least an associate’s degree. While some have a doctorate or master’s, the majority — almost 60% — have a bachelor’s.

The standard disciplines are mechanical, computer, aerospace, and electrical engineering. Computer science, mathematics, and mechatronics are also common. Majors like technology design, artificial intelligence, and communications are less conventional but still solid choices.

Knowledge

Job seekers must understand kinematics, science, and mathematics. They should also know the fundamentals of engineering, the principles of automation, and the standard safety practices. Depending on the role, they must learn copywriting, visual design, or hand tools.

Skills

Critical thinking, analysis, attention to detail, and problem-solving are essential soft skills for any job in the robotics field. Job seekers should know how to identify and troubleshoot issues regardless of whether they design, develop, build, or test robots.

The hard skills required to transition to a career in robotics depend on the career type. While a repair technician’s job revolves around an electrical, mechanical, and programming skillset, a test engineer has to have engineering and project management abilities.

Certification

Only some jobs require their employees to become certified. However, professionals should still consider getting them because they appeal to employers. The International Society of Automation, the Smart Automation Cerficiation Alliance, and the Association for Advancing Automation are well-known institutions offering various certifications.

Experience

Most organizations prefer their candidates to have previous work in electrical, aerospace, industrial, programming, or mechanical fields. However, when hiring for an entry-level position, many will be content with computer science, automation, or design technology experience.

Steps to Take to Change Careers Into Robotics

Transitioning to a career in robotics is a multi-step process.

1. Build a Professional Network

People — especially those not currently in a robotics-related field — must build a network from scratch. Connecting with industry experts, mentors, and educators increases their chances of getting hired and can accelerate their job-seeking journey.

2. Search for Available Jobs

While some jobs in the robotics field are hybrid or remote, most require in-person work. Most people will have to identify nearby opportunities if they aren’t willing to relocate. If options are scarce, they should consider tailoring their skills to improve their chances of success.

3. Upskill and Certify

Upskilling is essential for those who don’t work in robotics-related fields. They should strengthen their soft and hard skills to improve their chances of being hired. Certifications work similarly — they can make entry-level job seekers more competitive as candidates.

4. Revisit Your Resume

Professionals should update their resumes before each application. Tailoring it to each job listing — and for the robotics field in general — is essential. Since many businesses use artificial intelligence during hiring, these optimization tricks can help applicants pass the automatic screening process and get their documents in the hands of a human.

Good Entry-Level Jobs to Consider

Professionals looking to change careers into robotics have plenty of options. They can apply for various roles in the aerospace, warehousing, health care, military, or manufacturing sectors.

1. Entry-Level Technical Writer

In robotics, a technical writer interprets complex documentation and communications from engineers. They write instructions, guides, or explanations about robots or robotic systems. Essentially, their job is to translate jargon into an easy-to-understand format.

2. Software Engineer Intern

A software engineer intern interprets data and develops programs for robots. Even as an intern, it’s a lucrative role. In the U.S., people in this position make about $125,320 annually on average. Notably, it does require significant experience with computer programming.

3. Entry-Level Robotic Welding Technician

Robotic welding technicians program, operate, and maintain a welding cobot to weld material to specifications. They also test their complete work to identify and fix flaws. This role is one of the few where a high school diploma or a GED is widely accepted.

4. Field Service Technician Intern

Service technician interns use engineering, electrical, programming, and mechanical knowledge to identify, diagnose, and maintain robotic systems. Those who work in the field travel to different job sites to repair clients’ robots on demand — often under a mentor.

5. UI/UX Designer Intern

In robotics, a UI/UX designer intern ensures that robots and robotic systems are user-friendly and easy to interact with. Their primary focus is shaping human-robot interactions. They conduct usability testing to see how users interact with the product.

6. Entry-Level Quality Control Technician

An entry-level quality control technician operates robots and robotic systems to test if they function as intended. They leverage test automation and IT knowledge to ensure the product meets clients’ expectations and analyze their results using data software.

7. Robotics Engineer Intern

A robotics engineer intern leverages computer-aided design and other software to develop and deploy prototypes. Some internships only require a high school diploma or GED if candidates actively work toward an engineering or industrial-related degree.

Transitioning into a Robotics Career Is Worth the Effort

Although many people consider robotics a notoriously challenging field to enter, a transition is possible. Even people in non-robotic-related professions can achieve success without returning to school. While it will still take time and dedication, the high salaries and job security usually make all the effort worth it.

The post How to transition into a robotics career appeared first on RoboticsBiz.

Qualifications necessary for robotics jobs can vary based on the specific role. However, a bachelor’s degree in engineering, computer science, or a related field is generally required. For certain positions, a master’s degree or higher might be necessary.

Employers highly value relevant work experience within the robotics industry. Internships or co-op placements serve as excellent avenues to acquire this valuable experience.

Proficiency in technical skills such as programming, hardware design, and mechanics is essential for most robotics positions. Robotics engineers must adeptly identify and resolve complex problems.

Effective communication, catering to technical and non-technical audiences, is crucial for robotics engineers. They must articulate technical concepts clearly to individuals with varying technical expertise.

Here are some of the most prominent jobs in robotics, and here are some ways you can get each of these jobs.

1. Robotics Engineer

Robotics engineers are responsible for designing, developing, and testing robots while integrating them into existing systems and processes. Typically holding a bachelor’s degree in mechanical engineering, electrical engineering, or computer science, these professionals require a solid foundation in their respective fields.

Proficiency in mechanical engineering, electrical engineering, or computer science is crucial for robotics engineers, along with familiarity with specialized robotics concepts such as control systems, sensors, and actuators.

In the United States, the average annual salary for a robotics engineer stands at $100,640. However, salaries can fluctuate based on experience, location, and the specific role. Seasoned robotics engineers may earn upwards of $150,000 annually, whereas those with less experience might start around $60,000 per year.

To pursue a career as a Robotics Engineer:

• Obtain a bachelor’s degree in engineering, computer science, or a related field.
• Participate in internships or co-op placements within the robotics industry.
• Cultivate robust technical skills in programming, hardware design, and mechanics.
• Accumulate relevant work experience in the field of robotics.

2. Robotics Technician

Robotics technicians specialize in installing, maintaining, and repairing robots, ensuring their safe and efficient operation while troubleshooting any issues. Typically equipped with an associate’s degree in robotics or a related field, these professionals possess a foundational understanding of mechanical and electrical systems and expertise in troubleshooting and repair procedures.

In the United States, the average annual salary for a robotics technician stands at $52,960. However, earnings can fluctuate based on experience, location, and the specific role. Seasoned robotics technicians may command salaries upwards of $70,000 annually, while newcomers might start around $40,000 yearly.

To pursue a career as a Robotics Technician:

• Obtain an associate’s degree in robotics or a related field.
• Engage in internships or co-op placements within the robotics industry.
• Develop a fundamental grasp of mechanical and electrical systems.
• Accumulate relevant work experience in the robotics industry.

3. Software Engineer

Software engineers specializing in robotics are responsible for developing software that governs the operations of robots, focusing on integrating this software with hardware and sensors. Typically holding a bachelor’s degree in computer science or software engineering, these professionals require a robust foundation in computer science and proficiency in programming languages like C++, Java, and Python. Moreover, they need familiarity with specialized software tools and libraries specific to robotics.

In the United States, a software engineer’s average annual salary is $110,140. However, earnings can vary based on experience, location, and the specific role. Experienced software engineers in robotics may earn upwards of $150,000 annually, while entry-level professionals might start at around $60,000 annually.

To pursue a career as a Software Engineer:

• Attain a bachelor’s degree in computer science or software engineering.
• Cultivate strong programming skills in languages like C++, Java, and Python.
• Accumulate relevant work experience in software development.
• Develop familiarity with robotics-specific software tools and libraries.

4. Hardware Engineer

Hardware engineers specializing in robotics are responsible for designing, developing, testing, and debugging the physical components that constitute robots. Typically equipped with a bachelor’s degree in electrical engineering or a related field, these professionals require a robust foundation in electrical engineering. They should possess expertise in electronics design, circuit analysis and familiarity with specialized hardware components essential in robotics, such as sensors and actuators.

In the United States, a hardware engineer’s average annual salary is $102,850. However, earnings can fluctuate based on experience, location, and the specific role. Experienced hardware engineers in robotics may command salaries upwards of $150,000 annually, while entry-level professionals might start around $60,000 annually.

To pursue a career as a Hardware Engineer:

• Obtain a bachelor’s degree in electrical engineering or a related field.
• Develop strong skills in electronics design and circuit analysis.
• Accumulate relevant work experience in hardware design.
• Cultivate familiarity with robotics-specific hardware components such as sensors and actuators.

5. Sales Engineer

Sales engineers specializing in robotics are responsible for selling robots and robotic systems to businesses while providing technical support and training to customers. Typically holding a bachelor’s degree in engineering, business, or a related field, these professionals require a strong comprehension of robotics technology and its diverse applications. Additionally, they must possess excellent communication skills to effectively engage with customers and discern their specific requirements.

In the United States, a sales engineer’s average annual salary is $88,880. However, earnings can fluctuate based on experience, location, and the specific role. Seasoned sales engineers specializing in robotics may earn upwards of $120,000 annually, while those new to the field might start around $50,000 annually.

To pursue a career as a Sales Engineer:

• Attain a bachelor’s degree in engineering, business, or a related field.
• Develop a strong understanding of robotics technology and its applications.
• Accumulate relevant sales experience.
• Cultivate effective communication and exceptional customer service skills.

6. Mechatronics Engineer

Mechatronics engineers design and develop integrated systems that merge mechanical, electrical, and computer engineering principles. They apply their expertise across various products, including robots, medical devices, and manufacturing systems. Typically holding a bachelor’s degree in mechatronics or a related field, these professionals require a robust foundation in mechanical engineering, electrical engineering, and computer science. Additionally, they need familiarity with robotics-specific concepts such as control systems, sensors, and actuators.

In the United States, a mechatronics engineer’s average annual salary is $83,640. However, earnings can vary based on experience, location, and the specific role. Experienced mechatronics engineers may command salaries upwards of $120,000 annually, while entry-level professionals might start around $50,000 per year.

To pursue a career as a Mechatronics Engineer:

• Attain a bachelor’s degree in mechatronics or a related field.
• Develop a strong foundation in mechanical, electrical, and computer science.
• Accumulate relevant work experience in mechatronics engineering.
• Familiarize with robotics-specific concepts such as control systems, sensors, and actuators.

7. Process Automation Engineer

Process automation engineers specialize in developing and implementing automated systems across manufacturing and various industries. They identify processes suitable for automation and then design and deploy the required software and hardware solutions. Typically holding a bachelor’s degree in engineering or computer science, these professionals require a robust foundation in either field. Additionally, they need familiarity with automation concepts and tools.

In the United States, a process automation engineer’s average annual salary is $94,690. However, earnings can fluctuate based on experience, location, and the specific role. Seasoned process automation engineers may earn upwards of $130,000 annually, while those starting might earn around $60,000 annually.

To pursue a career as a Process Automation Engineer:

• Obtain a bachelor’s degree in engineering or computer science.
• Develop a strong foundation in automation concepts and tools.
• Accumulate relevant work experience in process automation.
• Cultivate problem-solving and analytical skills.

8. Automation Project Engineer

Automation project engineers oversee the execution of automation projects, managing planning, scheduling, and execution while troubleshooting issues to ensure projects meet deadlines and stay within budget. Typically holding a bachelor’s degree in engineering or a related field, these professionals require a solid foundation in engineering. Additionally, they should possess familiarity with project management concepts and tools.

The average annual salary for an automation project engineer in the United States is $102,330. However, salaries can vary based on experience, location, and the specific role. Experienced automation project engineers earn upwards of $140,000 annually, while entry-level professionals earn around $60,000 annually.

To pursue a career as an Automation Project Engineer:

• Obtain a bachelor’s degree in engineering or a related field.
• Develop a strong foundation in project management concepts and tools.
• Accumulate relevant work experience in project management.
• Cultivate leadership and effective communication skills.

9. Embedded Design Engineer

Embedded design engineers create and refine software tailored for embedded systems like robots and other resource-limited devices, optimizing software performance and efficiency. Typically holding a bachelor’s degree in computer science or electrical engineering, these professionals require a solid foundation in either field. Additionally, they need expertise in embedded systems programming and design.

In the United States, an embedded design engineer’s average annual salary is $101,432. However, earnings can fluctuate based on experience, location, and the specific role. Experienced embedded design engineers earn upwards of $140,000 annually, while entry-level professionals might start around $60,000 per year.

To pursue a career as an Embedded Design Engineer:

• Attain a bachelor’s degree in computer science or electrical engineering.
• Develop a strong foundation in embedded systems programming and design.
• Accumulate relevant work experience in embedded systems design.
• Cultivate problem-solving and analytical skills.

10. Deployment Engineer

Deployment engineers handle the deployment and configuration of robots and robotic systems in production environments. Their responsibilities include ensuring proper installation configuration and providing training and support to users. Typically holding a bachelor’s degree in engineering or a related field, these professionals require a solid foundation in engineering. Additionally, they should possess familiarity with systems administration and configuration.

In the United States, a deployment engineer’s average annual salary is $82,710. However, earnings can vary based on experience, location, and the specific role. Experienced deployment engineers earn upwards of $110,000 annually, while entry-level professionals earn around $50,000 annually.

To pursue a career as a Deployment Engineer:

• Attain a bachelor’s degree in engineering or a related field.
• Develop a strong foundation in systems administration and configuration.
• Accumulate relevant work experience in systems deployment.
• Cultivate problem-solving and technical troubleshooting skills.

The post How can I get a job in robotics? appeared first on RoboticsBiz.

With the advent of AI technologies taking over the world, employment in the computer and IT sector is expected to rise by 10% over the next decade [Ref]. Many cloud computing professionals are required to fill various positions. Therefore, IT companies may require network technology professionals to exhibit their skill sets and knowledge in cloud computing technologies. An AWS certification would help professionals prove their competency and credentials in the AWS disciplines.

We will discuss the two most sought-after AWS certifications– AWS Cloud Practitioner and AWS Solutions Architect- and compare the two to help you navigate which qualification will benefit you in your career.

What is Amazon Web Services?

Amazon Web Services is a highly popular global cloud platform with almost half the market share. It features 200+ services available from data centers from all over the world. AWS has many use cases and can be used by govt. Organizations, corporations, and even start-ups to partake in digital transformation and improve efficiency, performance, and productivity.

Among the many popular AWS certifications offered by Amazon Web Services, Solutions Architect and Cloud Practitioner are the two most popular and sought-after certifications for beginner-level computing positions. The AWS offers 12 different certifications across four levels: Foundational, Associate, Professional, and Specialty. The certifications offered by the AWS include:

Foundational

• AWS Cloud Practitioner

Associate

• AWS Certified SysOps Administrator – Associate
• AWS Certified Developer – Associate
• AWS Certified Solutions Architect – Associate

Professional

• AWS Certified DevOps Engineer – Professional
• AWS Certified Solutions Architect – Professional

Specialty

• AWS Certified Database – Specialty
• AWS Certified Machine Learning – Specialty
• AWS Certified Security – Specialty
• AWS Certified Data Analytics – Specialty
• AWS Certified SAP on AWS – Specialty
• AWS Certified Advanced Networking – Specialty

Who is an AWS Cloud Practitioner?

A professional obtaining knowledge and skills in AWS Cloud through the AWS Cloud Practitioner certification would be called an AWS Cloud Practitioner. Those working in management, sales, technical, marketing, or finance that require the assistance of AWS Cloud are the best suited for this certification. The AWS Cloud Practitioner certification tests an individual’s ability to comprehend the fundamentals of network architectures, cloud infrastructure, and the top AWS services, such as AWS Cloud Services compliance and security.

The AWS Cloud Practitioner certification can be obtained by preparing and taking the dedicated certification exam. This certification exam consists of 65 questions comprising multiple-choice questions and multiple-response questions. Also, the exam lasts 90 minutes and analyzes the candidates’ ability on topics like fundamentals of AWS cloud, architecture, security, support, and pricing. The total score of the AWS Cloud Practitioner certification is 1000, out of which candidates require 700 marks to pass the exam and be eligible for the certification. However, candidates require a minimum of 6 months of experience in the AWS cloud platform.

Major Roles & Responsibilities

Professionals with the AWS Cloud Practitioner certification are expected to manage an organization’s cloud computing architecture. They are responsible for overseeing that the developers’ technical decisions are closely aligned with the objectives of the organization and its business.

The major roles and responsibilities of an AWS Cloud Practitioner at an organization are:

• Taking initiatives in cloud migration and reviewing workload architecture.
• Guiding the organization to deal with high-risk issues on cloud infrastructure.
• Act as a bridge between an organization’s technical and business fronts to facilitate the adoption of cloud technologies.
• Developing and optimizing cloud-based applications and services.
• Deploying cloud security and identity measures to protect the infrastructure.
• Monitoring and addressing performance issues on the user end.
• Designing and deploying backup and recovery plans.
• Analyzing and scaling workloads.
• Implementing AWS best practices according to business standards.
• Configuration of private virtual clouds.
• Troubleshooting errors and issues in the implementation and design of cloud computing infrastructure.

Who is an AWS Cloud Solutions Architect?

To acquire an AWS Cloud Solutions Architect, a candidate requires a working knowledge of the Amazon Web Services cloud platform. Individuals who are skilled in designing and deploying applications on the AWS cloud platform are validated through this certification. The AWS Cloud Solutions Architect certification is best suited for those with in-depth knowledge and understanding of this cloud platform and its services and features. Moreover, it is apt for individuals with experience using the AWS cloud platform who wish to acquire credentials for their knowledge in this domain.

Like the AWS Cloud Practitioner certification exam, the AWS Cloud Solutions Architect certification exam also consists of 65 questions comprising multiple choice and response questions. The time duration of the exam shall be 180 minutes or 3 hours. The total AWS Cloud Solutions Architect certification exam marks are also 1000, but the required passing marks are 720.

Unlike the AWS Cloud Practitioner certification exam, the AWS Cloud Solutions Architect certification requires candidates to obtain two years of working experience in AWS cloud or equivalent qualification. Before this test, candidates should acquaint themselves with the AWS compliance and security policies. Therefore, AWS Cloud Solution Architect training can be beneficial for such candidates to obtain the required eligibility criteria and become familiar with the AWS cloud platform and its architecture, security, and policies, among other things.

Major Roles & Responsibilities

AWS Cloud Solutions Architect professionals assist businesses in creating and implementing cloud solutions using AWS. They work with the business’ clients to understand their requirements and develop the best creative solution using Amazon Web Services. They also collaborate with others on the team to ensure proper measures are applied effectively.

The major roles and responsibilities undertaken by an AWS Cloud Solutions Architect at an organizational level are:

• Comprehending the business goals and objectives to build cloud-based solutions to achieve such objectives.
• Building and sustaining cost-effective and scalable cloud computing systems for an organization.
• Facilitate digital transformation towards cloud-based solutions to enhance the efficiency of the organization.
• Streamline routine processes and enhance operational efficiency.
• Building and managing cloud applications effectively for the internal use of the organization.
• Assessing any risks posed by external network platforms.
• Fortifying the security of cloud environments against external threats to prevent data loss through security breaches.
• Minimizing downtime as much as possible.
• Keep up with industry best practices of cloud computing to enhance the efficiency of cloud infrastructure.

Difference Between AWS Cloud Practitioner and AWS Cloud Solutions Architect

Similarities Between AWS Cloud Practitioner & Solutions Architect

While comparing AWS Cloud Practitioner and AWS Solutions Architect credentials, it’s essential to remember that the AWS Solutions Architect certification is advanced for those who have an in-depth understanding of the AWS cloud computing platform. However, they are similar in the context of the examination. Both the AWS Cloud Practitioner and AWS Solutions Architect certifications cover some topics that are common to both. Such topics include fundamentals of AWS cloud computing, security, support, architecture, and pricing, along with topics like application development and deployment with management, which are covered in the AWS Cloud Solutions Architect certification course.

Which One to Choose Between AWS Solutions Architect & Cloud Practitioner?

Deciding what to choose between AWS Cloud Practitioner and AWS Cloud Solutions Architect requires a critical assessment of the career prospects and alignment of individual goals based on current knowledge and expertise in cloud computing.

For beginners without knowledge of cloud platforms, it can be best to acquire six months of experience in cloud computing technologies and go for the AWS Cloud Practitioner certification, a beginner-level qualification. The AWS Cloud Practitioner certification is also a prerequisite for candidates to obtain higher-level certifications Amazon Web Services offers. This certification helps candidates learn about cloud computing concepts, security, compliance, services, pricing models, and policies. It acts as a door to the more complex concepts of cloud computing technologies by helping candidates understand the fundamental AWS principles and practices.

Moreover, individuals with fundamental technical knowledge and experience in cloud computing technologies, particularly in using AWS, can better understand the complex and robust concepts of Professional-level AWS cloud certification. The AWS Cloud Solutions Architect certification is an excellent professional credential for those who want to deploy scalable solutions using AWS Cloud Services. Even if you have some basic knowledge of cloud computing technologies, opting for solution architect training can help fill the knowledge gap and upscale your skills in AWS cloud computing services, to begin with the preparation for the AWS Cloud Solutions Architect certification.

Conclusion

Choosing between two of the most sought-after AWS cloud computing certifications can be tough, but your choice should be based on your level of knowledge, skills, and comfort. Both certifications offer fascinating opportunities in the world of AWS cloud computing. If you are a beginner, taking the AWS Cloud Practitioner certification may be good to begin your journey with AWS.

However, if you want to level up your AWS game, take a solution architect training with the AWS Certification Course for Solution Architect Training and get trained by industry experts. The course provides an opportunity to get hands-on experience in designing and deploying AWS cloud architectures guided by certified AWS experts who can help you prepare for the exam efficiently and clear it in one go! Get value and knowledge together in this course and unlock unlimited potential in the AWS ecosystem as an AWS Solutions Architect.

FAQs

1. Do I need an AWS cloud practitioner before a solutions architect?

While obtaining an AWS Cloud Practitioner certification before the Solutions Architect certification would be helpful for individuals, it is not a requirement, as the ability to obtain an AWS certification depends on the level of knowledge and skills that an individual has in cloud computing technologies.

2. Is the AWS cloud architect and solution architect the same?

The AWS Cloud Practitioner and AWS Solutions Architect are two different certifications offered by Amazon Web Services to recognize the credentials of candidates obtaining knowledge in AWS cloud computing of different levels. The AWS Solutions Architect is more advanced than the AWS Cloud Practitioner certification.

3. Is coding required for AWS cloud practitioners?

While it is desirable to have some knowledge of coding, it is not a requirement for obtaining AWS Cloud Practitioner certification.

4. Which is the most in-demand AWS certification?

The role of a Solutions Architect is one of the most demanding in the IT sector, with a possibility of a rise in the demand for qualified individuals over the next decade. As such, the AWS Cloud Solutions Architect is the most in-demand certification offered by Amazon Web Services.

5. Can I get a job in AWS without coding?

Many tasks in AWS cloud computing technologies can be accomplished without coding knowledge. Simply having the certification doesn’t mean you have to be knowledgeable about coding. Coding knowledge is required to work as a cloud engineer, not otherwise.

The post AWS Cloud Practitioner vs Solutions Architect appeared first on RoboticsBiz.

From unraveling the mysteries hidden in vast datasets to architecting the infrastructure that houses the digital goldmine, a degree in analytics empowers you to explore intellectually stimulating and financially rewarding roles. In this article, we’ll delve into the world of analytics and unveil the highest-paying jobs you can aspire to secure after earning your analytical credentials.

This post explores the highest-paying jobs you can get after pursuing a degree in Analytics. The high salaries for these jobs are due to the high demand for these skills and the relatively low supply of qualified candidates. In addition to the high salaries, these jobs also offer good job prospects and benefits.

1. Data Scientist

Data scientists use their statistics, mathematics, and programming knowledge to extract data insights. They work with a variety of data sources, including structured data (such as customer records and financial transactions), unstructured data (such as social media posts and customer reviews), and streaming data (such as sensor data and clickstream data).

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $108,370
Average Salary (Indeed): $129,000
Average Salary (Glassdoor): $111,000

2. Machine Learning Engineer

Machine learning engineers (MLEs) build, deploy, and maintain machine learning (ML) models. They work with data scientists to understand the business problem that the ML model is trying to solve, and then they design and implement the ML model. Once the model is implemented, MLEs monitor its performance and adjust as needed.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $110,140
Average Salary (Indeed): $132,000
Average Salary (Glassdoor): $110,000

3. Business Intelligence Analyst

Business intelligence (BI) analysts collect, analyze, and interpret data to help businesses make better decisions. They use a variety of data sources, including sales data, customer data, and financial data, to identify trends and patterns. They then communicate their findings to business stakeholders clearly and concisely.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $93,010
Average Salary (Indeed): $89,000
Average Salary (Glassdoor): $92,000

4. Data Architect

Data architects design and build data management systems that organizations use to store, manage, and access their data. They work with various data technologies, including databases, warehouses, and lakes. Data architects also develop and implement governance policies and procedures to ensure data is secure and compliant with regulations.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $109,260
Average Salary (Indeed): $115,000
Average Salary (Glassdoor): $109,000

5. Data Engineer

Data engineers build and maintain the infrastructure that powers data pipelines and warehouses. They use various tools and technologies to collect, clean, transform, and store data. Data engineers also work with data scientists and other professionals to ensure data is accessible and usable for analysis.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $106,330
Average Salary (Indeed): $111,000
Average Salary (Glassdoor): $106,000

6. Marketing Analyst

Marketing analysts use data to understand consumer behavior and develop and evaluate marketing campaigns. They typically work for advertising agencies, marketing research firms, or in-house marketing departments at companies. According to the U.S. Bureau of Labor Statistics, the median annual salary for marketing analysts was $70,530 in 2021.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $70,530
Average Salary (Indeed): $89,000
Average Salary (Glassdoor): $92,000

7. Financial Analyst

Financial analysts use data to evaluate financial performance and make investment recommendations. They typically work for investment banks, commercial banks, or other financial institutions. According to the U.S. Bureau of Labor Statistics, the median annual salary for financial analysts was $85,660 in 2021.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $85,660
Average Salary (Indeed): $95,000
Average Salary (Glassdoor): $100,000

8. Operations Research Analyst

Operations research analysts use data to develop and implement mathematical models to solve complex business problems. They typically work for consulting firms, research and development departments, or government agencies. According to the U.S. Bureau of Labor Statistics, the median annual salary for operations research analysts was $84,280 in 2021.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $84,280
Average Salary (Indeed): $93,000
Average Salary (Glassdoor): $99,000

9. Quantitative Analyst

Quantitative analysts use data to develop and implement financial models to assess risk and make investment decisions. They typically work for hedge funds, investment banks, or commercial banks. According to the U.S. Bureau of Labor Statistics, the median annual salary for quantitative analysts was $114,700 in 2021.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $114,700
Average Salary (Indeed): $132,000
Average Salary (Glassdoor): $110,000

10. Risk Analyst

Risk analysts assess and manage risk for companies and organizations. They typically work for insurance companies, financial institutions, or consulting firms. According to the U.S. Bureau of Labor Statistics, the median annual salary for risk analysts was $94,600 in 2021.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $94,600
Average Salary (Indeed): $105,000
Average Salary (Glassdoor): $104,000

11. Market Research Analyst

Analysts collect and analyze data to understand consumer behavior and market trends. They typically work for marketing research firms, consulting firms, or in-house market research departments at companies. According to the U.S. Bureau of Labor Statistics, the median annual salary for market research analysts was $69,730 in 2021.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $69,730
Average Salary (Indeed): $86,000
Average Salary (Glassdoor): $102,000

12. Management Consultant

Management consultants help companies improve their performance and efficiency. They typically work for consulting firms with various clients in different industries. According to the U.S. Bureau of Labor Statistics, the median annual salary for management consultants was $94,600 in 2021.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $94,600
Average Salary (Indeed): $100,000
Average Salary (Glassdoor): $101,000

13. Data Warehouse Architect

Data warehouse architects design and build data warehouses to store and manage large amounts of data. They typically work for consulting firms, technology companies, or in-house IT departments at companies. According to the U.S. Bureau of Labor Statistics, the median annual salary for database administrators was $95,640 in 2021.

Median Annual Salary (U.S. Bureau of Labor Statistics, 2021): $95,640
Average Salary (Indeed): $105,000
Average Salary (Glassdoor): $104,000

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