AI Safety Red Teamer

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

📋 Description

• Develop adversarial prompts to rigorously test advanced AI models.

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

• Assess model resilience in contexts such as misinformation, cybersecurity, biosecurity, fraud, political content, and other sensitive areas.

• Record vulnerabilities and assist in creating safety benchmarks and red-teaming documentation.

• Partner with AI researchers to enhance model alignment, robustness, and safety measures.

• 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 relevant 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 cutting-edge AI systems.

• Background in AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety is preferred.

• Knowledge of jailbreak testing, prompt engineering, or adversarial evaluation methods is preferred.

• Proficiency in grey-area domains such as cybersecurity, biosecurity, political content, misinformation, or scientific safety is preferred.

• Ability to work independently as a contractor.

• H1-B and STEM OPT candidates are not eligible.

🏝️ Benefits

• A fully remote position that allows you to work on your own schedule.

• Weekly payments through Stripe or Wise based on services provided.

• Project timelines may vary, allowing for extensions, reductions, or early conclusions based on needs and performance.

• Competitive salary.

• Opportunity to collaborate with leading researchers in the field.

• Reasonable accommodations available upon request.

• Referral bonuses of up to $340 for each successful referral, subject to certain limits.