AI Safety Evaluator & RLHF Benchmarking Specialist - Remote

Visa Hunt; Poland; Remote; PLN 311,000 - 363,000; Full time

Job summary

Mercor is seeking an AI Safety Practitioner for a remote contract role. You will evaluate AI-generated responses for safety, factual accuracy, and policy compliance, and review content across misinformation, political persuasion, self-harm, violence, cyber, and biosecurity.

You will apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking, identify unsafe outputs, and provide structured feedback to improve model alignment.

Qualifications

• Bachelor's degree or higher in a related discipline.
• 5+ years of professional experience in AI Safety or related field.
• Excellent written English and strong analytical reasoning.
• Ability to evaluate nuanced, 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 evaluation initiatives.

Skills

Excellent written English

Analytical reasoning

Critical thinking

Policy evaluation

Nuanced scenario evaluation

Education

Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or related discipline

Tools

RLHF

SFT

AI evaluation

Job description

Mercor is seeking an AI Safety Practitioner for a remote contract role. You will evaluate AI-generated responses for safety, factual accuracy, and policy compliance, and review content across misinformation, political persuasion, self-harm, violence, cyber, and biosecurity.

You will apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking, identify unsafe outputs, and provide structured feedback to improve model alignment.