Frontier AI Safety Evaluator & Model Alignment

Mercor; Oslo; On-site; NOK 900,000 - 1,300,000; Full time

Job summary

Mercor seeks experienced AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models across sensitive topics. You will assess AI-generated responses, apply safety policies, and contribute to model improvements through structured evaluations.

You will collaborate with AI researchers and safety teams on ongoing evaluation initiatives, review misinformation, political content, self-harm, violence, and other domains, and help refine evaluation rubrics for RLHF, SFT, and

Qualifications

• Bachelor's degree or higher in a relevant field (see list in posting).
• 5+ years in AI safety, trust & safety, journalism, policy, or related field.
• Excellent written English, strong critical thinking and analytical skills.
• Ability to evaluate nuanced, policy-sensitive scenarios.

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.

Skills

Critical thinking

Analytical reasoning

Excellent written English

Policy evaluation

Education

Bachelor's degree

Related discipline

Public policy background

Law background

Biology/Chemistry/CS

Job description

Mercor seeks experienced AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models across sensitive topics. You will assess AI-generated responses, apply safety policies, and contribute to model improvements through structured evaluations.

You will collaborate with AI researchers and safety teams on ongoing evaluation initiatives, review misinformation, political content, self-harm, violence, and other domains, and help refine evaluation rubrics for RLHF, SFT, and