AI Safety Red Teamer

Job Description:

• Design adversarial prompts to stress-test frontier AI models
• Identify jailbreaks, unsafe behaviours, 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
• Perform project work for Mercor's partner AI labs and enterprises focused on training and enhancing AI systems

Requirements:

• 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
• Experience with AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety preferred
• Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation methodologies preferred
• Expertise in grey-area domains such as cyber, biosecurity, political content, misinformation, or scientific safety preferred
• Must be eligible to work in one of the listed locations
• Mercor cannot support H1-B or STEM OPT candidates at this time

Benefits:

• Fully remote work arrangement
• Flexible schedule; work can be completed on your own schedule
• Weekly payments via Stripe or Wise
• Projects may be extended, shortened, or concluded early depending on needs and performance
• Competitive pay
• Collaboration with leading AI researchers and safety teams
• Opportunity to influence frontier AI safety and model development
• Up to $340 per successful referral, subject to referral limits
• Reasonable accommodations upon request