Frontier AI Safety Evaluator

Mercor; Paris; Hybrid; EUR 65,000 - 95,000; Full time

Job summary

Obsidian is seeking experienced AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models across complex, 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, review content involving misinformation, political persuasion, self-harm, violence, and other high-risk domains, and help

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.

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

AI Safety

Policy Evaluation

Analytical Reasoning

Critical Thinking

English Proficiency

Education

Bachelor's degree or higher

Tools

RLHF

SFT

Content Moderation

Job description

Obsidian is seeking experienced AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models across complex, 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, review content involving misinformation, political persuasion, self-harm, violence, and other high-risk domains, and help