
AI Safety Red Teamer
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in United States.
β’ Create adversarial prompts to evaluate and stress-test advanced AI models.
β’ Detect jailbreaks, unsafe behaviors, hallucinations, and failures in policy compliance.
β’ Assess model robustness in areas such as misinformation, cybersecurity, biosecurity, fraud, political content, and other sensitive fields.
β’ Document identified vulnerabilities and assist in safety benchmarking and red-teaming reports.
β’ Collaborate with AI researchers to enhance model alignment, robustness, and safety.
β’ Engage in projects aimed at training and improving AI systems.
β’ A Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related field.
β’ Over 5 years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a similar area.
β’ Exceptional analytical reasoning, prompt design, and written communication abilities.
β’ Experience in creating adversarial prompts or evaluating cutting-edge AI systems.
β’ Preferred: background in AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety.
β’ Preferred: knowledge of jailbreak testing, prompt engineering, or methodologies for adversarial evaluation.
β’ Preferred: expertise in one or more grey-area domains, such as cybersecurity, biosecurity, political content, misinformation, or scientific safety.
β’ Must be an independent contractor.
β’ H1-B and STEM OPT candidates are not supported.
β’ Fully remote position.
β’ Flexible scheduling; work can be done at your convenience.
β’ Weekly payments via Stripe or Wise.
β’ Project timelines may be adjusted based on requirements and performance.
β’ Competitive compensation.
β’ Opportunity to collaborate with leading researchers.
β’ Referral incentive: earn up to $340 for each successful referral.
The College Board
Mercor
Mercor
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