Frontier AI Safety Evaluator

Obsidian; San Francisco (CA); Remote; USD 150,000 - 210,000; Full time

Job summary

Obsidian is seeking experienced AI Safety Practitioners to evaluate the 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 through evaluations and collaboration with AI researchers and safety teams.

Responsibilities include iterating on rubrics for RLHF, SFT, and safety benchmarking, identifying unsafe outputs and misalignment, and

Qualifications

• Bachelor's degree or higher in a relevant field and 5+ years in AI safety or related area.
• Excellent written English and strong analytical reasoning.
• 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

Excellent written English

Critical thinking

Analytical reasoning

Policy evaluation

Education

Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or related discipline

Job description

Obsidian is seeking experienced AI Safety Practitioners to evaluate the 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 through evaluations and collaboration with AI researchers and safety teams.

Responsibilities include iterating on rubrics for RLHF, SFT, and safety benchmarking, identifying unsafe outputs and misalignment, and