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Explainer · Industry, infrastructure, and careers

Careers in AI: roles, skills, and paths

What kinds of jobs exist around AI, and how do people prepare for them?

Beginner6 min readReviewed Oct 8, 2026

General information, not legal or professional advice. All explainers

How this page was made
  • Researched and written with AI assistance from primary sources, which are listed at the end with the date they were read.
  • Source-checked: a separate AI fact-check pass compared each sentence with its source and corrected what did not match (fact-check report (external site: github.com)).
  • Automated checks passed: links, structure, and formatting are validated before every publish.
  • Not individually reviewed by a person before publication. What these review levels mean

Key takeaways

  • AI work includes research, software, data, chip design, infrastructure, data-center, electrical, product, policy, legal, safety, and evaluation roles.
  • AI job titles rarely match one official occupation, so compare a posting's duties with the BLS Occupational Outlook Handbook and O*NET.
  • Routes in include degrees, registered apprenticeships, and two-year college programs; separate a posting's requirements from its preferences.
On this page

Work around AI reaches well beyond research labs. U.S. government occupational guides and employer postings describe researchers, software and machine learning engineers, data specialists, the engineers and technicians who design chips and run data centers, and people in product, design, policy, law, safety, and evaluation. One AI job title often maps to several official occupations, so the duties matter more than the name. Preparation differs by role: research jobs often expect a graduate degree, many engineering jobs a bachelor's degree, and electricians usually train through apprenticeships, which the Department of Labor also recognizes for some data roles. Course materials from universities, government, and companies, and the catalog's Jobs page, can help you explore. This page does not discuss pay or hiring outlook.

Job titles and official occupations

Two Department of Labor resources describe occupations in plain terms. The Bureau of Labor Statistics' Occupational Outlook Handbook (OOH) explains what workers do and how they prepare. O*NET OnLine (external site: onetonline.org), from the Department's Employment and Training Administration, lists tasks, skills, and sample job titles. AI titles rarely match one entry: O*NET's search for "machine learning engineer" (external site: onetonline.org) lists Data Scientists, Computer Systems Engineers/Architects, and Computer and Information Research Scientists first among its closest matches, and Data Engineer appears as a sample title under Database Architects (external site: onetonline.org). Read a posting's duties, then find the occupation that fits them.

Research, software, and data roles

Chips, infrastructure, and data centers

An accelerator is a chip built to speed up AI computation, and a data center houses servers with the power and cooling they need.

Product, policy, legal, safety, and evaluation

Education and other routes in

According to the OOH pages above, research scientists typically need a master's degree or higher, though some federal jobs accept a bachelor's; software developers, data scientists, and hardware and electrical engineers typically need a bachelor's; and some employers of systems administrators ask for a postsecondary certificate or associate's degree instead.

Registered Apprenticeship combines a paid job with a mentor, classroom instruction, and a nationally recognized credential; you apply through the employer or program sponsor (apprenticeship.gov (external site: apprenticeship.gov)). Most electricians train in a 4- or 5-year apprenticeship, and most states require a license. O*NET lists Data Scientist and Machine Learning Data Curator as Department of Labor-approved apprenticeship titles under Data Scientists (external site: onetonline.org), and the Department runs an AI in Registered Apprenticeship (external site: apprenticeship.gov) portal. For two-year colleges, the National Science Foundation's Advanced Technological Education (external site: nsf.gov) program supports the education of technicians for high-technology fields.

Employers describe other signals too. Anthropic says it values what candidates can do over where they learned it, and suggests putting independent research, writing, or open-source contributions first on a resume. Ai2 offers internships and a predoctoral program that prepares people for graduate-level research.

Learning materials you can use now

Reading a posting and using the Jobs page

Separate requirements from preferences. Postings often split them, as in Cerebras's required and nice-to-have lists. The three Anthropic postings cited here list a minimum of a bachelor's degree or an equivalent mix of education, training, and experience, and CoreWeave says applicants need not meet every item. Then note fixed conditions: on-site work, on-call rotations, lifting limits, state licenses, or security clearances. Apply on the employer's own site.

The Jobs page lists current positions at organizations in the catalog, collected from employers' public job boards, and links to the employer to apply. USASI does not employ or recruit for these organizations and collects no applications (methodology). You can search and filter by organization, location, department, workplace type, and employment type; each listing shows when it was last seen in the employer's feed, and organizations without an automated feed keep a link to their official careers page. Company records such as CoreWeave show open positions and the official careers link too.

Worked example: from a networking class to a data center

Sam is a fictional reader invented for this page. Sam is taking networking courses at a community college and wants to work on AI infrastructure.

  1. Pick a role family. Sam reads the OOH page for network and computer systems administrators and notes that some employers ask for a certificate or associate's degree.
  2. Find real postings. On the Jobs page, Sam searches "data center technician" and opens the CoreWeave posting.
  3. Sort the requirements. Fixed: on-site work, on-call shifts, lifting. Flexible: hands-on or education-based experience with hardware, data centers, networking, or scripting.
  4. Fill gaps. Sam practices Linux and Python and uses OpenCourseWare for background.
  5. Check other routes. Sam searches apprenticeship.gov for registered programs nearby.
  6. Apply. Sam applies through the employer's own careers page.

Different goals, such as research, would point to graduate study instead.

What you can do next

Sources

All read on October 8, 2026. Job postings change or close; those below were open when read.

Check your understanding

Three quick questions, answered from this page. Nothing you choose is saved or sent anywhere.

  1. 1.Why does the page suggest reading a posting's duties instead of relying on its AI job title?
  2. 2.According to the Occupational Outlook Handbook pages the explainer cites, what preparation do research scientists typically need?
  3. 3.You find a position on USASI's Jobs page. How do you apply?

0 of 3 answered.

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