AI jobs are routinely ranked highly in the job market. In fact, machine learning engineers and data scientists have been on Indeed\u2019s Best Jobs list for years [1]<\/p>\n<\/li>\n<\/ul>\n
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Positions in the field are growing. According to the US Bureau of Labor Statistics (BLS) projects opportunities in computer and information research to grow 20 percent between 2024 and 2034 [2]<\/p>\n<\/li>\n<\/ul>\n
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Example job titles in this field include AI engineer, ML engineer, data engineer, and data scientist<\/p>\n<\/li>\n<\/ul>\n
Learn more about AI jobs, including what they do and how much you can expect to earn in each. Afterward, if you’re ready to build a strong foundation in AI, consider enrolling in the Google<\/a> AI Professional Certificate program. In as little as eight hours, you’ll learn to apply AI to essential, transferable skills like data analysis, communication, and research<\/p>\n
9 artificial intelligence jobs to explore<\/h2>\n
Artificial intelligence professionals are increasingly in demand and well-compensated for their hard-earned skills. If you’re interested in joining the field, consider pursuing one of these positions:<\/p>\n
1. Artificial intelligence (AI) engineer<\/h3>\n
AI engineers are professionals who use AI and machine learning techniques to develop applications and systems that help organizations become more efficient. They focus on developing the tools, systems, and processes that enable AI to be applied to real-world problems. Data ” trains ” algorithms, helping them learn and perform better. AI engineers can help cut costs, increase productivity and profits, and make business recommendations.\u00a0<\/p>\n
Median total pay:<\/b>$151,000 [3<\/a>]<\/p>\n
2. Machine learning engineer<\/h3>\n
Machine learning engineers are professionals who research, build, and design the AI responsible for machine learning. They maintain and improve existing AI systems. A machine learning engineer often serves as a liaison with other data science team members, collaborating with the data scientists who develop models for building AI systems. They run experiments and tests, perform statistical analyses, and develop machine learning systems.<\/p>\n
Medina total pay:<\/b>$160,000 [4<\/a>]<\/p>\n
3. Data engineer<\/h3>\n
Data engineers build systems that collect, manage, and convert raw data into usable information for data scientists, business analysts, and other data professionals to interpret. They make data accessible so that organizations can use it to evaluate and optimize their performance. Data engineering is a broad field with applications in nearly every industry.\u00a0<\/p>\n
Median total pay:<\/b>$132,000 [5<\/a>]<\/p>\n
4. Robotics engineer<\/h3>\n
Robotics engineers develop robotic applications for many industries, including automotive, manufacturing, defense, and medicine. They design new products or assemble prototypes for testing. Some may work on-site at a manufacturing plant overseeing robots as they are being produced, while others monitor their performance in the real world. Robotics engineering combines elements of mechanical and electrical engineering with computer science.<\/p>\n
Median total pay:<\/b>$143,000 [6<\/a>]<\/p>\n
5. Software engineer<\/h3>\n
Software engineers, sometimes called developers, create software for computers and applications. They use programming languages, platforms, and architectures to develop anything from a computer game to network control systems. A software engineer may also test, improve, and maintain software built by other engineers. If you\u2019re an analytical thinker who enjoys solving problems and improving digital systems, you may find this career rewarding.<\/p>\n
Median total pay:<\/b>$149,000 [7<\/a>]<\/p>\n
6. Data scientist<\/h3>\n
Data scientistsdetermine what questions an organization or team should be asking, and help them figure out how to answer those questions using data. They often develop predictive models used to theorize and forecast patterns and outcomes. A data scientist might also use machine learning techniques to improve the quality of data or product offerings.\u00a0<\/p>\n
Median total pay:<\/b>$155,000 [8<\/a>]<\/p>\n
7. Natural language processing engineer<\/h2>\n
Natural language processing (NLP) engineers design natural language processing systems through AI technology to add speech recognition to software and devices, such as office assistants like Alexa or Google Home. They also work with text analytics for sentiment analysis and with language translation<\/p>\n
Median total pay:<\/b> $112,000 [9<\/a>]<\/p>\n
8. AI research scientist<\/h2>\n
AI research scientists research, analyze, and develop new models, systems, and algorithms to support AI advancements. They often work in an academic setting, such as a university or research center, and take a theoretical approach.\u00a0In addition to working on research and development, they’re usually tasked with publishing papers and collaborating with other professionals, such as data scientists and engineers.<\/p>\n
Median total pay:<\/b> $196,000 [10<\/a>]<\/p>\n
9. Computer vision engineer<\/h2>\n
Computer vision engineers are experts in using computer vision to solve problems. Generally, they use AI technology to help computers and systems extract information from visuals and support technology such as facial recognition and image enhancement<\/p>\n
Median total pay:<\/b>$164,000 [11<\/a>]<\/p>\n
How to get a job in AI<\/h2>\n
When it comes to landing an AI job, you\u2019ll want to consider the requirements and skills associated with a specific job role. These are the common ways to get a job in AI, but keep in mind that your path will vary depending on job type, level, and industry<\/p>\n
1. Consider earning a degree<\/h3>\n
Many jobs in AI require a bachelor\u2019s degree or higher. For some entry-level positions, you may only need an associate degree or equivalent skills and work experience. Often, AI professionals obtain undergraduate degrees in computer science, mathematics, or a related field.\u00a0<\/p>\n
2. Build practical AI skills<\/h3>\n
To join the AI field, you’ll need to build the right skills. Programming skills, for example, are essential for any AI worker. In addition to Python, you may also use C++, Java, and R frequently. You\u2019ll also need to have extensive knowledge of ML frameworks such as PyTorch and TensorFlow, as well as a variety of ML and deep learning algorithms<\/p>\n
Because AI interfaces are vulnerable to cyberattacks, it\u2019s also beneficial to have knowledge of AI security measures. If your company plans to release a new AI model for general use, you\u2019ll need to know about DevOps deployment techniques to ensure your AI model is usable in a general way<\/p>\n
AI career paths<\/h3>\n
If you\u2019re a team member interested in pursuing AI as a career path, you can start defining your trajectory by using AI on your team. Then, decide what function or role you\u2019d like to play in AI<\/p>\n
![\"\"](\"https:\/\/justfineinfotech.com\/wp-content\/uploads\/2026\/07\/purple-hash-pattern.svg_-5.png\")
<\/p>\n3. Apply to entry-level jobs<\/h3>\n
Once you feel confident with your level of training, start doing research and applying for jobs. Many entry-level AI jobs will indicate \u201centry-level\u201d or \u201cjunior\u201d in the job title or require less than three years of experience<\/p>\n
If you have trouble in your job search, try applying for internships or get started on a freelance project or a hackathon to sharpen your skills. You\u2019ll receive feedback on your work and develop relationships that may benefit you in the future<\/p>\n
<img src="https:\/\/justfineinfotech.com\/wp-content\/uploads\/2026\/07\/Why_-CAREER-_Needs_to_Understand_AI_-_Project_Management__4_.jpg" alt="[Video thumbnail] AI Revolution From Coffee to Cybersecurity<\/a>“><\/p>\n
Prepare for a career in AI with Coursera today<\/h2>\n
AI is a rapidly growing and changing field. Stay updated on the latest trends with our LinkedIn newsletter, Career Chat! Or, browse our other free re<\/p>\n
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Watch on YouTube:<\/b>IBM AI Experts Reveal Prompt Engineering Secrets<\/a><\/p>\n<\/li>\n<\/ul>\n
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Explore courses:<\/b>Popular Artificial Intelligence Courses and Certifications<\/p>\n<\/li>\n<\/ul>\n
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\nStart 7-day free trial<\/p>\nArticle sources<\/h2>\n
1.\u00a0<\/p>\n
Indeed. “The Best Jobs in the US in 2019, https:\/\/www.indeed.com\/lead\/best-jobs-2019.” Accessed April 20, 2026<\/p>\n
Updated on Apr 20, 2026
\nWritten by:<\/p>\nCoursera Staff<\/h3>\n
Editorial Team<\/p>\n
Coursera\u2019s editorial team is comprised of highly experienced professional editors, writers, and fact<\/p>\n
This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals<\/p>\n
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