Remote AI Safety Evaluator – RLHF, Policy & Risk Expert

mercor; Schweiz; Remote; CHF 69,000 - 80,000; Full time

Job summary

Mercor is seeking an AI Safety Practitioner for remote contract work. You will evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality.

You will review content across misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains, and apply evaluation rubrics for RLHF, SFT, and AI safety benchmarking. You will collaborate with researchers and safety teams to improve model alignment.

Qualifications

• 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.

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

Written English

Critical thinking

Analytical reasoning

Education

Bachelor's degree or higher

Job description

Mercor is seeking an AI Safety Practitioner for remote contract work. You will evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality.

You will review content across misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains, and apply evaluation rubrics for RLHF, SFT, and AI safety benchmarking. You will collaborate with researchers and safety teams to improve model alignment.