Artificial Intelligence-Related Careers and Degrees

An AI data curator gathers, organizes, and prepares data so it can be used to train or improve artificial intelligence systems.

An AI knowledge engineer helps build systems that allow artificial intelligence to store, organize, and “understand” information in a structured way.

An AI research analyst studies and explains how artificial intelligence is being developed and used.

An artificial intelligence (AI) engineer designs, develops, and implements AI solutions and systems.

An AI research scientist specializes in conducting research and development in the field of artificial intelligence (AI).

An AI ethics specialist focuses on addressing ethical considerations and implications associated with the development, deployment, and use of artificial intelligence (AI) technologies.

An AI consultant provides expertise and guidance on the implementation, development, and optimization of artificial intelligence (AI) technologies and solutions for businesses, organizations, or government agencies.

An AI product manager oversees the development, implementation, and optimization of artificial intelligence (AI) products and solutions within a company or organization.

An AI policy analyst helps shape the rules and guidelines for how artificial intelligence (AI) is used in society.

An AI auditor examines artificial intelligence systems to ensure they operate correctly and fairly.

An AI data scientist creates smart computer systems that learn from data and help people make better decisions in everyday life and business.

An AI technical writer creates guides, tutorials, manuals, and articles that explain how artificial intelligence systems work in a simple, easy-to-follow way.

An AI community manager builds and takes care of online communities around AI products, tools, or topics.

An AI UX designer creates user experiences for products that use artificial intelligence, making sure these tools are simple, clear, and actually helpful for people.

An AI change manager helps organizations adopt and use AI tools and systems smoothly.

A HAX designer, short for human-AI experience designer, focuses on making it easier and more comfortable for people to use AI.

An AI content writer uses artificial intelligence tools to help create written content like blog posts, social media captions, emails, product descriptions, or website copy.

An AI data analyst looks at large amounts of information using artificial intelligence tools to find patterns, trends, and insights that help organizations make better decisions.

An AI project coordinator helps keep AI projects organized and moving forward.

An AI implementation specialist helps a business or organization use artificial intelligence tools to solve everyday problems and work more efficiently.

An AI product designer creates user experiences and interfaces for products powered by artificial intelligence.

An AI conversation designer shapes how chatbots, virtual assistants, and similar tools speak and interact with people, so that conversations with technology feel clear, natural, and helpful.

A machine learning engineer builds and deploys systems that can learn from data and make predictions.

A Natural Language Processing (NLP) engineer is a specialist in the field of artificial intelligence (AI) and computational linguistics focused on developing and implementing algorithms, models, and systems that enable computers to understand, interpret, and generate human language.

A prompt engineer specializes in creating clear and effective prompts for artificial intelligence (AI) systems, especially those using advanced language models like GPT-4.

A computer vision engineer focuses on developing and implementing algorithms, systems, and technologies that enable computers to interpret and understand visual information from digital images or videos.

An AI trainer helps teach artificial intelligence systems how to do tasks correctly and reliably.

A generative AI engineer builds and improves AI systems that can create new content, like text, images, audio, or even video.

An AI robotics engineer designs and builds robots that can think, learn, and make decisions using artificial intelligence.

An edge AI engineer creates AI systems that run directly on devices like smartphones, cameras, sensors, or drones, instead of relying on the cloud.

An MLOps engineer makes sure machine learning models don’t just stay in a lab, but actually work reliably in the real world.

An AI performance engineer makes AI systems run faster, smoother, and more efficiently.

An AI solutions engineer helps businesses use AI to solve real-world problems.

An AI interaction designer designs how people interact with AI systems, such as chatbots, virtual assistants, or smart apps.

An AI voice interface designer designs how people interact with AI using their voice, like with smart speakers or voice assistants.

An AI personalization engineer creates systems that make digital experiences feel personal for each user.

An AI creative technologist uses artificial intelligence to bring creative ideas to life in new and exciting ways.

An AI curriculum designer creates courses, learning materials, and training programs that teach people about artificial intelligence.

An AI accessibility designer makes AI-powered products and experiences usable for everyone, including people with disabilities.

An AI strategist helps organizations figure out how to use artificial intelligence in a smart and effective way.

An AI product evangelist helps people understand, get excited about, and adopt artificial intelligence products.

An AI lifecycle manager oversees how artificial intelligence systems are developed, used, and maintained over time.

An AI business analyst serves as the essential bridge between a company’s complex technical capabilities and its high-level strategic goals.

An AI workforce transformation specialist helps organizations navigate the massive shift toward artificial intelligence by preparing the most important part of any company: the people.

An AI bias auditor ensures that the artificial intelligence systems we use every day are fair and free from digital prejudice.

An AI explainability specialist works at the intersection of complex technology and human understanding.

An AI compliance officer ensures that an organization’s artificial intelligence systems follow relevant laws, regulations, and internal policies.

An AI security specialist stands at the front lines of the newest frontier in digital defense.

An AI data privacy specialist ensures that artificial intelligence systems use personal information responsibly and legally.

An AI risk manager helps organizations use artificial intelligence in a safe and responsible way.