The outlook is bright for artificial intelligence jobs, which is good news for anyone working in the growing field of AI. In fact, machine learning engineers and data scientists have made the top of the list on 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 the employment of computer and information research scientists is projected to grow 21 percent from 2021 to 2031. This is much faster than average.

With the rise of ChatGPT during the recent AI boom, you may want to consider a job in artificial intelligence. But what jobs are they? How do you land a job 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.

Top 5+ artificial intelligence jobs to consider

1. Artificial intelligence (AI) engineer

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. Ai engineers can help cut costs, increase productivity and profits, and make business recommendations.

2. Machine learning engineer

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.

3. 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.

4. 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 engineer with computer science.

5. 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. If you’re an analytical thinker who enjoys solving problems and improving digital systems, you may find this career rewarding.

How to get a job in AI

When it comes to landing an AI job, you’ll 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.

Get a degree.

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