Frontier AI Safety Evaluator

Obsidian; Helsinki; Remote; EUR 60,000 - 100,000; Full time

Job summary

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

Responsibilities include evaluating outputs for safety and accuracy, reviewing content on misinformation, policy sensitivity, and collaborating with researchers to refine RLHF and SFT rubrics.

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 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

Excellent written English

Critical thinking

Analytical reasoning

Policy evaluation

Education

Bachelor's degree in Journalism or Public Policy

Bachelor's degree in Psychology or Law or Computer Science

Job description

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

Responsibilities include evaluating outputs for safety and accuracy, reviewing content on misinformation, policy sensitivity, and collaborating with researchers to refine RLHF and SFT rubrics.