Remote AI Safety Evaluator & Model Alignment Specialist

mercor; Österreich; Remote; EUR 74,000 - 86,000; 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 sensitive domains.

You will apply evaluation rubrics for RLHF and SFT, identify unsafe outputs, and provide structured feedback to improve model alignment. Collaboration with AI researchers and safety teams is expected.

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

Excellent written English

Critical thinking

Analytical reasoning

Policy-sensitive evaluation

Education

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

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 sensitive domains.

You will apply evaluation rubrics for RLHF and SFT, identify unsafe outputs, and provide structured feedback to improve model alignment. Collaboration with AI researchers and safety teams is expected.