AI Safety Red Teamer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create adversarial prompts to rigorously evaluate frontier AI models.

• Detect jailbreaks, unsafe behaviors, hallucinations, and policy failures.

• Assess model resilience in areas such as misinformation, cyber threats, biosecurity, fraud, political content, and other sensitive sectors.

• Document identified vulnerabilities and assist in safety benchmarking and red-teaming reports.

• Collaborate with AI researchers to enhance model alignment, robustness, and safety protocols.

• Conduct adversarial testing to uncover weaknesses in frontier AI systems.

• Engage in projects aimed at training and improving AI systems.

⛳️ Requirements

• A Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related field.

• Over 5 years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a similar area.

• Excellent analytical reasoning, prompt design, and written communication capabilities.

• Proven experience in designing 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 methodologies.

• Preferred: specialization in grey-area domains such as cyber, biosecurity, political content, misinformation, or scientific safety.

• Must not require H1-B or STEM OPT support at this time; Mercor cannot accommodate H1-B or STEM OPT candidates.

🏝️ Benefits

• Fully remote position.

• Flexible scheduling.

• Weekly payments via Stripe or Wise based on services rendered.

• Chance to collaborate with leading AI researchers and safety teams.

• Opportunity to impact the safety and alignment of frontier AI models.

• Competitive compensation.

• Referral bonus of up to $340 for each successful referral.