Frontier AI Safety Evaluator

Obsidian; Brussel Hoofdstad; À distance; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Obsidian is seeking experienced AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models across sensitive topics. You will assess responses, apply safety policies, and provide structured feedback to improve model behavior through evaluations and collaboration with researchers and safety teams.

Responsibilities include refining evaluation rubrics, identifying unsafe outputs, and collaborating with safety teams on ongoing initiatives to shape safe AI governance.

Qualifications

• Bachelor's degree or higher in a relevant 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.

Responsabilités

• 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.

Connaissances

Critical thinking

Analytical reasoning

Excellent written English

Nuanced policy evaluation

Formation

Bachelor's degree or higher

Description du poste

Obsidian is seeking experienced AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models across sensitive topics. You will assess responses, apply safety policies, and provide structured feedback to improve model behavior through evaluations and collaboration with researchers and safety teams.

Responsibilities include refining evaluation rubrics, identifying unsafe outputs, and collaborating with safety teams on ongoing initiatives to shape safe AI governance.