Frontier AI Safety Evaluator & Policy Alignment Expert

Mercor; Lisboa; Presencial; EUR 65 000 - 100 000; Tempo integral

Resumo da oferta

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

Collaborate with researchers and safety teams on RLHF/SFT evaluations, review misinformation, self-harm, violence, and other sensitive domains, and help shape safer AI used by millions.

Qualificações

• Bachelor's degree or higher in 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.

Responsabilidades

• 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.

Conhecimentos

Excellent written English

Critical thinking

Analytical reasoning

Policy evaluation

Formação académica

Bachelor's degree or higher in a related discipline

Descrição da oferta de emprego

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

Collaborate with researchers and safety teams on RLHF/SFT evaluations, review misinformation, self-harm, violence, and other sensitive domains, and help shape safer AI used by millions.