AI Safety Practitioner - Expert Evaluator

Mercor; Madrid; Presencial; EUR 55.000 - 90.000; Jornada completa

Descripción de la vacante

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

Responsibilities include evaluating safety and accuracy across sensitive domains, refining evaluation rubrics for RLHF and SFT, and collaborating with AI researchers to advance safety and alignment initiatives.

Formación

• Bachelor's degree or higher in a related field.
• 5+ years of professional experience in AI Safety or related areas.
• Excellent written English and analytical reasoning.

Responsabilidades

• Evaluate AI-generated responses for safety, accuracy, and policy compliance.
• Review content across misinformation, political persuasion, self-harm, violence, 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.

Conocimientos

Analytical thinking

Policy evaluation

Critical thinking

English writing

Educación

Bachelor's degree or higher

Herramientas

RLHF

SFT

AI evaluation frameworks

Descripción del empleo

We are seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive, and ambiguous ("grey-area") topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

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.

Required 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.

Preferred Qualifications

• Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation.

• Familiarity with safety policies, content moderation, or evaluation rubric development.

• Experience reviewing complex, high-risk, or ambiguous content.

Why Join?

• Shape the safety and behaviour of frontier AI models used by millions worldwide.

• Work on challenging, real-world safety evaluations across nuanced and high-impact domains.

• Collaborate with leading AI researchers, engineers, and safety teams.