Frontier AI Safety Evaluator & Alignment Specialist

Mercor; Brussel Hoofdstad; Sur place; EUR 70 000 - 110 000; Temps partiel

Résumé du poste

Mercor is seeking experienced AI Safety Practitioners to evaluate frontier AI models across complex, policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

The role involves evaluating safety, factual accuracy, and policy adherence, reviewing content across high-risk domains, and collaborating with researchers and safety teams to refine evaluation rubrics and feedback mechanisms.

Qualifications

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

Responsabilités

• 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.

Connaissances

Critical thinking

Analytical reasoning

Written English

Formation

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

Description du poste

Mercor is seeking experienced AI Safety Practitioners to evaluate frontier AI models across complex, policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

The role involves evaluating safety, factual accuracy, and policy adherence, reviewing content across high-risk domains, and collaborating with researchers and safety teams to refine evaluation rubrics and feedback mechanisms.