Lesson 1535 of 1570
Careers in AI Trust and Safety
The growing field of keeping AI from harming users — and the paths in.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2red teaming
- 3content policy
- 4model evaluation
Concept cluster
Terms to connect while reading
Section 1
The big idea
Every major AI lab has a Trust and Safety team larger than most startups, and they're hiring people who understand both technology and human harm. You don't need a CS PhD — many roles want sociologists, lawyers, linguists, and people with lived experience of online harm. It's one of the fastest-growing AI specialties.
Some examples
- AI red teamer: get paid to break models by trying to make them say harmful things.
- Policy specialist: write the rules that guide what models will and won't do.
- Child safety researcher: protect kids from emerging AI threats specifically.
- Crisis response: handle real-time incidents when AI causes harm in the wild.
Try it!
Read one AI lab's safety blog this week. Notice which job titles keep appearing in their team bios.
Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “Careers in AI Trust and Safety”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Builders · 40 min
HR Specialist: AI Helpers in This Career
HR specialists hire people, handle workplace problems, and run benefits programs.. Here's how AI shows up in this career in 2026.
Builders · 40 min
How AI Changes the Trade School vs College Question
AI is making some white-collar jobs shrink while trades stay strong. Here's what that means for what you choose next.
Builders · 40 min
Building a Real Portfolio in High School Using AI
You don't need an internship to have a portfolio. AI lets you ship real projects from your bedroom.