AI Safety Specialist - Evaluation Expert

Obsidian; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Job summary

Obsidian in Warsaw seeks experienced AI Safety Practitioners to evaluate frontier models for safety, quality, and alignment across policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and provide structured feedback to help improve model behavior through formal evaluations and collaboration with AI researchers and safety teams.

Responsibilities include identifying unsafe outputs, bias, and policy violations, and refining evaluation rubrics for RLHF, SFT, and

Qualifications

• Bachelor's degree or higher in a related field.
• 5+ years of professional AI Safety or related experience.
• Excellent written English, critical thinking, and analytical reasoning.

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

Written English

Critical thinking

Analytical reasoning

Policy evaluation

Education

Bachelor's degree or higher

Tools

RLHF

SFT

AI evaluation

Job description

We are seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive, and ambiguous ("grey-area") topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

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.

Required Qualifications

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

Preferred Qualifications

• Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation.

• Familiarity with safety policies, content moderation, or evaluation rubric development.

• Experience reviewing complex, high-risk, or ambiguous content.

Why Join?

• Shape the safety and behaviour of frontier AI models used by millions worldwide.

• Work on challenging, real-world safety evaluations across nuanced and high-impact domains.

• Collaborate with leading AI researchers, engineers, and safety teams.