Trust & Safety
Professionals in this role build and operate the systems that detect, investigate, and enforce against abuse of AI platforms—from fraud and policy violations to malicious cyber misuse. They translate safety policies into automated detection logic, machine learning features, and backend workflows, then partner with specialists, engineers, and product teams to turn signals into enforcement actions. The work combines real-time technical problem-solving with operational rigor: designing detection systems that act in milliseconds, managing feedback loops from chargebacks and support teams, and scaling enforcement without breaking legitimate users. These roles typically sit within dedicated Trust & Safety or Safeguards teams embedded in product organizations, working closely with policy, legal, investigations, and engineering to protect platform integrity while balancing user experience and business constraints.
Measured across 46 of 47 open postings.
This role is advertised at 2 levels, so a single figure for the role would describe none of them. Experience and pay are the midpoints for each level on its own.
| Level | Share | Median years | Median pay |
|---|---|---|---|
| Mid | 39%(18) | — | — |
| Senior | 22%(10) | 8 | — |
A dash means too few postings stated it to report a midpoint. Most companies do not publish a salary band, so pay is indicative rather than a market rate. 3 levels with fewer than 10 open postings are not shown.
“strong background in AI agent safety, privacy, security, cybersecurity, or adjacent fields, with the adversarial mindset needed to investigate real-world harmful outcomes”
“writing effective prompts for content review and enforcement”
“leveraging AI tools to amplify impact and scale work”
Requirements are a share of every open posting, so a role missing from this list is one where almost nobody asks. Work mode is different: many postings never say, so that figure counts only the ones that do. A posting stops being advertised when it is filled, cancelled or reorganised, so read the last figure as how long these stay on the market, not as time to hire.
Skills
What companies are looking for in this role.
Security data analysis
Detection engineering
Process design and improvement
Threat intelligence and hunting
Fraud and abuse investigation
Incident response and forensics
Security operations management
Escalation and incident response
Business insight analysis
Incident response and reliability
ML systems development
Data pipeline engineering
Dashboarding and self-service analytics
Operational metrics and analytics
Program and project management
SQL query development
AI usage policy design
AI safety and guardrails
AI red teaming and safety testing
AI evaluation design
Hands-on AI tool fluency
AI governance and trust advisory
AI risk and safety evaluation
AI workflow automation
Technical communication
Technology
The tools and technologies that define this role.
Open Jobs
47 open Trust & Safety jobs across 8 companies.
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