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
• Train and enhance frontier AI systems through human expertise

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 able to work as an independent contractor
• H1-B and STEM OPT candidates are not supported

Benefits: - Fully remote role

• Work on your own schedule
• Payments weekly on Stripe or Wise based on services rendered
• Projects can be extended, shortened, or concluded early depending on needs and performance
• Competitive pay
• Collaborate with leading researchers
• Reasonable accommodations upon request
• Referral opportunity earning up to $340 per successful referral (referral limits apply)