AI Safety Practitioner

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.