Senior AI Safety Evaluator — Expert Benchmarking (Remote)

mercor; United States; Remote; USD 83,000 - 96,000; Full time

Job summary

Mercor is seeking an AI Safety Practitioner for a remote contract engagement. You will evaluate AI-generated responses for safety, accuracy, and policy compliance, addressing sensitive domains with researchers and safety teams.

Key duties include applying evaluation rubrics for RLHF and SFT, identifying unsafe outputs, and providing structured feedback to improve alignment and safety performance. This role offers remote work and competitive hourly compensation.

Qualifications

• Bachelor's degree or higher in a related discipline.
• 5+ years of professional AI Safety or related field.
• Excellent written English and analytical reasoning.
• Ability to evaluate nuanced policy-sensitive scenarios.

Responsibilities

• Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and 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

Trust & Safety

Critical thinking

Analytical reasoning

Policy evaluation

Content moderation

Written English

Education

Bachelor's degree or higher

Job description

Mercor is seeking an AI Safety Practitioner for a remote contract engagement. You will evaluate AI-generated responses for safety, accuracy, and policy compliance, addressing sensitive domains with researchers and safety teams.

Key duties include applying evaluation rubrics for RLHF and SFT, identifying unsafe outputs, and providing structured feedback to improve alignment and safety performance. This role offers remote work and competitive hourly compensation.