AI Safety Practitioner

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

📋 Description

• Assess AI-generated responses for safety, factual correctness, adherence to policies, and overall quality.

• Analyze content related to misinformation, political influence, self-harm, violence, cyber threats, biosecurity, and other sensitive areas.

• Implement and enhance evaluation frameworks for RLHF, SFT, and AI safety benchmarks.

• Detect unsafe outputs, hallucinations, logical errors, and breaches of policy.

• Offer structured feedback to enhance model alignment and safety performance.

• Partner with AI researchers and safety teams on ongoing evaluation projects.

• Engage in initiatives that train and improve advanced AI systems.

⛳️ Requirements

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

• Over 5 years of professional experience in AI Safety, Trust & Safety, journalism, public policy, scientific research, security, or a similar field.

• Exceptional proficiency in written English.

• Strong critical thinking and analytical reasoning capabilities.

• Ability to evaluate nuanced and policy-sensitive scenarios consistently.

• Preferred experience in AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation.

• Familiarity with safety policies, content moderation, or the development of evaluation rubrics is preferred.

• Experience in reviewing complex, high-risk, or ambiguous content is preferred.

• Candidates must not require H1-B or STEM OPT sponsorship; Mercor is unable to support H1-B or STEM OPT candidates.

🏝️ Benefits

• Completely remote position.

• Flexible scheduling.

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

• Project timelines may be extended, shortened, or concluded early based on requirements and performance.

• Collaborate with top AI researchers, engineers, and safety teams.

• Contribute to shaping the future of AI systems.

• Competitive compensation.

• Earn up to $400 for each successful referral, with no cap on the number of referrals.

• Reasonable accommodations will be made available upon request.