
AI Safety Red Teamer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Create adversarial prompts to rigorously assess frontier AI models.
• Detect jailbreaks, unsafe behaviors, hallucinations, and policy shortcomings.
• Assess model resilience across domains such as misinformation, cyber threats, biosecurity, fraud, political content, and other sensitive areas.
• Record vulnerabilities and aid in safety benchmarking and red-teaming documentation.
• Collaborate with AI researchers to enhance model alignment, robustness, and safety measures.
• Conduct adversarial testing to train and improve frontier AI systems.
• A Bachelor's degree or higher in fields such as Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related area.
• Over 5 years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a related sector.
• Excellent analytical reasoning, prompt design, and written communication abilities.
• Experience in crafting adversarial prompts or assessing frontier AI systems.
• Preferred: background in AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety.
• Preferred: knowledge of jailbreak testing, prompt engineering, or adversarial evaluation techniques.
• Preferred: specialization in grey-area domains such as cyber, biosecurity, political content, misinformation, or scientific safety.
• Must not require H1-B or STEM OPT sponsorship/support currently.
• Engagement as an independent contractor.
• Fully remote position.
• Flexible work schedule, allowing you to complete tasks at your convenience.
• Weekly payments through Stripe or Wise based on services provided.
• Competitive compensation.
• Chance to collaborate with top AI researchers and safety teams.
• Engage in innovative adversarial testing.
• Opportunity to contribute to frontier AI safety and alignment initiatives.
• Referral rewards of up to $340 for each successful referral.
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