About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: AI Safety Red Teamer
Type: Contract
Compensation: $70–$84/hour
Location: Remote
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
- Bachelor's degree or higher in Computer Science , Cybersecurity , Journalism , Communications , Psychology , Biology , Chemistry , Public Policy , or a related discipline.
- 5+ years of professional experience in AI Safety , AI Red Teaming , Trust & Safety , cybersecurity, investigative journalism, life sciences, or a related field.
- Strong analytical reasoning, prompt design, and written communication skills.
- Experience designing adversarial prompts or evaluating frontier AI systems .
Preferred
- Experience with AI Red Teaming , RLHF , SFT , AI Alignment , or Trust & Safety .
- Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation methodologies.
- Expertise in one or more grey-area domains, including cyber, biosecurity, political content, misinformation, or scientific safety.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to: Show email
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vacancy posted 22 days ago
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