AI Safety Practitioner

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

📋 Description

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

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

• Implement and enhance evaluation criteria for Reinforcement Learning from Human Feedback (RLHF), Supervised Fine-Tuning (SFT), and AI safety benchmarking.

• Detect unsafe outputs, hallucinations, reasoning errors, and policy infringements.

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

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

⛳️ 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 related area.

• Exceptional written English skills.

• Strong critical thinking and analytical reasoning abilities.

• Capacity to consistently assess nuanced and policy-sensitive situations.

• 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 support; Mercor cannot accommodate H1-B or STEM OPT applicants.

🏝️ Benefits

• Fully remote position.

• Flexible working hours / can be completed according to your own schedule.

• Weekly payments via Stripe or Wise.

• Competitive salary.

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

• Opportunity to influence the development of cutting-edge AI systems.

• Up to $400 for each successful referral.

• No cap on the number of referrals.

• Reasonable accommodations available upon request.