AI Safety Specialist - Evaluation Expert

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.

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Responsibilities

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• 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

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• 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

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• 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?

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• 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. xghoner

  
  

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

  
  

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