Senior AI Safety Evaluator

Mercor; Madrid; A distancia; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Mercor is seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and provide structured evaluations to improve model behavior.

The role involves reviewing content on misinformation, political content, self-harm, and other high-risk areas, refining RLHF and SFT rubrics, and delivering clear feedback to researchers and safety teams to advance

Formación

• 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, or related field.
• Excellent written English, critical thinking, and analytical reasoning.
• Ability to consistently evaluate nuanced and policy-sensitive scenarios.

Responsabilidades

• 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.

Conocimientos

AI safety

Analytical reasoning

Critical thinking

Written English

Educación

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

Descripción del empleo

Mercor is seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and provide structured evaluations to improve model behavior.

The role involves reviewing content on misinformation, political content, self-harm, and other high-risk areas, refining RLHF and SFT rubrics, and delivering clear feedback to researchers and safety teams to advance