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 shortcomings

• Assess model resilience in relation to misinformation, cyber threats, biosecurity, fraud, political content, and other sensitive areas

• Document weaknesses and assist in safety benchmarking and red-teaming reports

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

• 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 related area

• Excellent analytical reasoning, prompt design, and written communication abilities

• Experience in creating 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: Expertise in one or more grey-area domains such as cyber, biosecurity, political content, misinformation, or scientific safety

• Must be capable of functioning as an independent contractor

• H1-B and STEM OPT candidates are not eligible

🏝️ Benefits

• Fully remote position that allows for flexible scheduling

• Weekly compensation through Stripe or Wise based on rendered services

• Project durations can be adjusted, shortened, or concluded early based on requirements and performance

• Competitive salary

• Collaboration with leading researchers and AI safety teams

• Chance to engage in advanced adversarial testing

• Opportunity to shape how AI systems tackle intricate real-world safety issues

• Referral bonuses of up to $340 for each successful referral