AI Safety Red Teamer

atMercorRemoteNorth AmericaFreelanceArtificial IntelligenceMid-levelSenior$70 – $84/hour

Posted Aug 31

This is a fully remote position, open to applicants in North America.

📋 Description

• Create adversarial prompts to rigorously test advanced AI models.

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

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

• Record vulnerabilities and aid in safety benchmarking and red-teaming documentation.

• 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.

• Proficient analytical reasoning, prompt design, and written communication skills.

• Experience in designing adversarial prompts or assessing advanced AI systems.

• Preferred experience in AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety.

• Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation techniques is preferred.

• Expertise in one or more grey-area domains, including cybersecurity, biosecurity, political content, misinformation, or scientific safety is preferred.

• Ability to work as an independent contractor is essential.

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


🏝️ Benefits

• Fully remote position.

• Flexible working hours; manage your own schedule.

• Weekly payments through Stripe or Wise.

• Competitive salary.

• Opportunity to collaborate with top AI researchers and safety teams.

• Chance to impact the safety and alignment of advanced AI systems.

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

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