AI Red Team Specialist
NicheAlso known as: AI Safety Tester, AI Adversarial Researcher, AI Security Specialist
Probe AI systems for vulnerabilities, biases, and failure modes through adversarial testing to ensure safety and reliability before deployment.
Salary Range
The highest-paid specialization or seniority level for ai red team specialists.
About 1 in 25 reaches this level
Very small field of ~3-5K practitioners (est., no BLS code — nearest SOC 15-1212 Information Security Analysts is far broader); only ~150 reach Head of AI Red Teaming at frontier labs and large enterprises at ~$280K total comp (~4%).
Salary data based on 2025 BLS, Glassdoor, and industry reports. Actual compensation varies by location, experience, and employer.
How to Become One
This career typically requires a bachelor's degree. Here are the top colleges for it:
Cost to Qualify
Four years of tuition and required fees runs about $56K at a typical public college in our list (in-state) and about $288K at a typical private one. Both are pricier than the US national averages (about $48K public in-state, $180K private nonprofit, College Board 2025-26) because our 161-college dataset only includes nationally-ranked schools, not every US college. This excludes room and board, which we show separately on each college's page.
Sticker price, not what most people pay — scholarships, aid and in-state status all move it. Room and board is shown separately on each college's page.
AI Risk Assessment
An AI red team specialist attacks AI systems on purpose, trying to make them leak data, break their rules or behave badly, so the problems get fixed before release. There is no separate government job code; the nearest is information security analysts. The Bureau of Labor Statistics projects that group to grow 21% from 2025 to 2035, much faster than average, and names the growing use of AI as one reason security work is in demand.
Part of the job is already automated. OWASP, the nonprofit security community, published a red-teaming guide in 2025 that lists free tools such as PyRIT, Garak and Promptfoo, which fire large batches of attacks at a model quickly. The same guide warns that the tools' output "still requires manual review", and that passing an automated test "doesn't mean it is secure". The tools speed up the routine probing; a person still has to design new attacks and judge what the results mean.
Demand is also written into law. Since August 2025, the EU AI Act has required makers of the most powerful general-purpose AI models to run and document adversarial testing. That duty covers only the makers of the largest models, not every company that uses AI. The IAPP, a nonprofit association for privacy and AI governance professionals, said in its 2025 AI governance report that red-teaming skills will be "increasingly necessary". This is the rubric's "2 Low": AI tools take over the repetitive probing, and rising demand absorbs the time saved.
What would change this score: if automated tools start finding new kinds of attack on their own and companies cut human red teams as a result, this would move to 3. We have not seen that yet.
Sources
Ratings reflect a 10-year outlook based on 2025-2026 research, weighted toward entry-level impact. Individual outcomes will vary.
Related Careers
Is AI Red Team Specialist right for you?
Take our free 20-minute assessment to find out if ai red team specialist matches your personality, interests, and strengths.
Take the Free Assessment