Full-Time AI Safety Specialist

This role involves contributing to AI safety by annotating and evaluating AI behaviors to ensure the systems are safe.

• Produce high-quality human data by annotating AI outputs against safety criteria (e.g., bias, misinformation, disallowed content, unsafe reasoning, etc).
• Apply harm taxonomies and guidelines consistently, even when tasks are ambiguous.
• Document your reasoning to improve guidelines.
• Collaborate to provide the human data that powers AI safety research, model improvements, and risk audits.

Qualifications

• Background in trust & safety, governance, or policy-to-product frameworks.
• Experience with harm taxonomies, safety-by-design principles, or regulatory frameworks (EU AI Act, NIST AI RMF).
• Skilled at translating abstract policies into concrete evaluation criteria.
• Motivated by reducing user harm and ensuring systems are safe, ethical, and compliant.

Requirements

• No prior annotation experience is required; ability to make careful, consistent decisions in ambiguous situations is essential.
• Willingness to review AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors.
• Participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources.

Benefits

• Work at the frontier of AI safety, providing the human data that shapes how models behave.
• Gain experience in a rapidly growing field with direct impact on how labs deploy advanced systems.
• Be part of a team committed to making AI systems safer, trustworthy, and aligned with human values.

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