AI Safety Practitioner - Expert Evaluator

mercor; España; Remote; EUR 74,000 - 86,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. We are seeking an AI Safety Practitioner for a remote contract role to evaluate AI outputs for safety, quality, and policy compliance.

You will review content across sensitive topics, apply evaluation rubrics for RLHF and SFT, and collaborate with AI researchers to strengthen model alignment and safety performance.

Qualifications

• Bachelor's degree or higher in a related discipline.
• 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, or related field.
• Excellent written English, critical thinking, and analytical reasoning skills.
• Ability to consistently evaluate nuanced and policy-sensitive scenarios.

Responsibilities

• Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality.
• Review content involving misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains.
• Apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking.
• Identify unsafe outputs, hallucinations, reasoning failures, and policy violations.
• Provide structured feedback to improve model alignment and safety performance.
• Collaborate with AI researchers and safety teams on ongoing evaluation initiatives.

Skills

AI Safety

Policy evaluation

Critical thinking

English writing

Education

Bachelor's degree or higher

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: AI Safety Practitioner Type: Contract Compensation: $60–$70/hour Location: Remote

Role Responsibilities

• Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality.
• Review content involving misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains.
• Apply and refine evaluation rubrics for RLHF , SFT , and AI safety benchmarking .
• Identify unsafe outputs, hallucinations, reasoning failures, and policy violations.
• Provide structured feedback to improve model alignment and safety performance.
• Collaborate with AI researchers and safety teams on ongoing evaluation initiatives.

Qualifications Must-Have

• Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline.
• 5+ years of professional experience in AI Safety , Trust & Safety, journalism, public policy, scientific research, security, or a related field.
• Excellent written English , critical thinking, and analytical reasoning skills.
• Ability to consistently evaluate nuanced and policy-sensitive scenarios.

Preferred

• Experience with AI Safety , RLHF , SFT , Trust & Safety, or AI evaluation.
• Familiarity with safety policies, content moderation, or evaluation rubric development.
• Experience reviewing complex, high-risk, or ambiguous content.