Data Labeler

Job Summary

To support AI safety initiatives, the full-time Data Labeler will review and evaluate AI conversations and model outputs, ensuring safety, quality, and compliance while working remotely.

Key responsibilities

• Review and assess AI model outputs for safety, quality, and policy compliance
• Label and categorize model responses according to internal evaluation frameworks
• Provide structured feedback to researchers and engineers to improve evaluation guidelines

Required qualifications

• Experience in content moderation, quality assurance, or policy enforcement
• Familiarity with data annotation, AI evaluation, or model assessment
• Strong written English skills and clear communication abilities
• Ability to make consistent decisions across large volumes of data
• Curiosity about AI systems and their functionalities