Frontier AI Safety Evaluator & Alignment Specialist

Obsidian; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

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

Responsibilities include evaluating outputs for safety and accuracy, reviewing content involving misinformation and sensitive domains, and refining RLHF/SFT evaluation rubrics.

Qualifications

• Bachelor's degree or higher in journalism, communications, psychology, sociology, public policy, law, biology, chemistry, computer science, or a related field.
• 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.

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 or higher in related discipline

Job description

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

Responsibilities include evaluating outputs for safety and accuracy, reviewing content involving misinformation and sensitive domains, and refining RLHF/SFT evaluation rubrics.