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Artificial Intelligence Jobs

Artificial Intelligence (AI) Jobs: The outlook is bright for AI jobs, which is good news for anyone working in the growing field of AI. Machine Learning engineers and data scientists have made the top list of Indeed’s Best Jobs for the past few years.

The US Bureau of Labor Statistics (BLS) groups careers in Artificial Intelligence with computer and information research scientists and notes that the employment of computer and information research scientists is projected to grow 21 percent from 2021 to 2031, much faster than average.

With the rise of ChatGPT during the recent AI boom, consider a job in Artificial Intelligence. But what jobs are they? How do you land a career in this field? Let us guide you through the jobs you can get in AI and the skills and education you’ll need to pursue them.

Artificial Intelligence jobs to consider

Learn more about specific jobs in AI and the average salaries you can expect to earn.

Artificial Intelligence Engineer, AIE

AI Engineers are professionals who use AI and Machine Learning techniques to develop applications and systems that help organizations become more efficient. AI engineering focuses on developing the tools, systems, and processes that enable AI to be applied to real-world problems. Algorithms are “trained” by data, which helps them to learn and perform better. As a result, AI Engineers can help cut costs, increase productivity and profits, and make business recommendations.

Average salary: $120,017

Read more: What Is an AI Engineer? (And How to Become One)

Machine Learning Engineer

Machine Learning engineers are professionals who research, build, and design the AI responsible for Machine Learning. In addition, they maintain and improve existing AI systems. A Machine Learning engineer often liaises 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.

Average salary: $125,087

Read more: What Is a Machine Learning Engineer? (How to Get Started)

Data Engineer

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.

Average salary: $115,592

Read more: What Is a Data Engineer? A Guide to This In-Demand Career

Robotics Engineer

Robotics Engineers develop robotic applications for many industries, including automotive, manufacturing, defense, and medicine. A robotics engineer designs new products or assembles 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.

Average salary: $101,062

Read more: Guide to a Robotics Engineering Career

Software Engineer

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. This career may be rewarding if you’re an analytical thinker who enjoys solving problems and enhancing digital systems.

Average salary: $107,169

Read more: What Does a Software Engineer Do?

Data Scientist

Data Scientists determine what questions an organization or team should ask and help them figure out how to answer them using data. In addition, they often develop predictive models used to theorize and forecast patterns and outcomes. For example, a data scientist might use Machine Learning techniques to improve data quality or product offerings.

Average salary: $126,575

Read more: What Is a Data Scientist? Salary, Skills, and How to Become One


How to get a job in AI

When landing an AI job, you’ll want to consider the requirements and skills of a specific job role. These are the common ways to get a job in AI, but remember that your path will vary depending on job type, level, and industry.

Get a Degree

Expect most jobs in AI to require a bachelor’s degree or higher. You may only need an associate degree or no degree for some entry-level positions, but that is uncommon. Most individuals working in AI obtain undergraduate degrees in computer science, mathematics, or a related field.

Gain Skills and Earn a Certification

If you already have your undergraduate degree in a field related to AI, consider enrolling in courses to learn technical skills. However, even if you don’t have a degree, certifications demonstrate to potential employers that you’re serious about your career goals and investing in your skills. Some AI certifications to consider include:

  • MIT:
    • Artificial Intelligence: Implications for Business Strategy
  • USAII:
    • Certified Artificial Intelligence Engineer
    • Certified Artificial Intelligence Consultant
    • Certified Artificial Intelligence Scientist
    • Artificial Intelligence Engineer
Apply to entry-level jobs.

Once you feel confident with your education level, start researching and applying for jobs. Many entry-level AI jobs, such as software engineer or developer, will indicate “entry-level” or “junior” in the job description. However, those that require less than three years of experience are typically fair game.

If you need help in your job search, try applying for internships or get started on a freelance project or a hackathon to sharpen your skills. You’ll receive feedback on your work and develop relationships that may benefit you.

Next steps for a career in AI

If you’re earning a degree, there are a couple of options. You could pursue a Bachelor of Science in Computer Science or a Master of Science in Data Science.

Or, get started with the IBM Applied AI or AI Engineering Professional Certificate to kickstart your career today. You can learn Python, build a chatbot, explore Machine Learning, or advance your Data Science skills. Skilldacity has all the courses you need to help you get the right skills for a rewarding career in AI.

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