Frontier AI Safety Evaluator

Mercor; Brussel Hoofdstad; À distance; EUR 70 000 - 110 000; Plein temps

Résumé du poste

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 feedback to improve model behavior.

You will collaborate with AI researchers and safety teams on ongoing evaluation initiatives, addressing complex, high-impact content and contributing to robust RLHF/SFT benchmarking frameworks.

Qualifications

• 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.

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

English writing

Policy evaluation

Formation

Bachelor's degree or higher in related field

Description du poste

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 feedback to improve model behavior.

You will collaborate with AI researchers and safety teams on ongoing evaluation initiatives, addressing complex, high-impact content and contributing to robust RLHF/SFT benchmarking frameworks.