Senior AI Safety Evaluator for Frontier Models

Obsidian; Lisboa; Teletrabalho; EUR 45 000 - 75 000; Tempo integral

Resumo da oferta

Obsidian seeks 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 help improve model behavior through structured evaluations and feedback.

You will collaborate with researchers and safety teams on ongoing evaluation initiatives, identify unsafe outputs, and refine evaluation rubrics for RLHF, SFT, and benchmarking.

Qualificações

• Bachelor's degree or higher in a related field.
• 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.

Responsabilidades

• 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.

Conhecimentos

Critical thinking

Analytical reasoning

Excellent written English

Policy evaluation

Formação académica

Bachelor's degree or higher in a related field

Descrição da oferta de emprego

Obsidian seeks 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 help improve model behavior through structured evaluations and feedback.

You will collaborate with researchers and safety teams on ongoing evaluation initiatives, identify unsafe outputs, and refine evaluation rubrics for RLHF, SFT, and benchmarking.