
AI Safety Red Teamer Expert
Mercor connects talented professionals with high-paying remote contract opportunities at leading AI companies.
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About the job
Role Responsibilities
- Design adversarial prompts to stress-test frontier AI models.
- Identify jailbreaks, unsafe behaviors, hallucinations, and policy failures.
- Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other sensitive domains.
- Document vulnerabilities and contribute to safety benchmarking and red-teaming reports.
- Collaborate with AI researchers to improve model alignment, robustness, and safety.
Qualifications
Must-Have
- A bachelor's degree or higher in a field such as Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or another related discipline.
- 5+ years of professional work in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a comparable area.
- Demonstrated strength in analytical reasoning, prompt design, and writing.
- Prior work creating adversarial prompts or assessing frontier AI systems.
Preferred
- Hands-on background with AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety.
- Working knowledge of jailbreak testing, prompt engineering, or other adversarial evaluation methods.
- Subject-matter depth in at least one grey-area domain, for example cyber, biosecurity, political content, misinformation, or scientific safety.
Application process
Submit your application through NorthStar. Employer screening may follow after submission.
Resources & Support
For employer questions, contact support@mercor.com.
About Mercor
Mercor runs a remote talent marketplace that places experienced specialists on contract assignments, often for AI and other technology employers. Openings cover many professional fields, including engineering, research, design, finance, tax, and legal work, and are commonly paid hourly with flexible or part-time schedules. The usual path is a single application and screening flow, after which candidates can be matched to projects that fit their expertise.