Location: Remote-friendly (US time zones preferred); open to US, UK, Canada

• *Type**: Full-time or Part-time

### Why This Role Exists At Mercor, we believe the foundation of AI safety is high-quality human data. Models can’t evaluate themselves — they need humans who can apply structured judgment to complex, nuanced outputs. We’re building a flexible pod of Safety specialists: contributors from both technical and non-technical backgrounds who will serve as expert data annotators. This pod will annotate and evaluate AI behaviors to ensure the systems are safe. No prior annotation experience is required — instead, we’re looking for people with the ability to make careful, consistent decisions in ambiguous situations. This role may include reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. ### What You’ll Do - 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. ### Who You Are - You come from a background in lab safety, biosafety, or environmental health and safety (EHS/EH&S). - You’ve managed compliance, hazard training, or incident investigations. - You understand the importance of preventing accidents, documenting incidents, and enforcing safety protocols. - You can adapt operational safety methods to the context of AI systems and data evaluation. - Examples of past titles: Lab Safety Officer, Biosafety Specialist, EHS Manager, Occupational Health & Safety Coordinator, Safety Compliance Officer, Industrial Hygienist, Environmental Health Specialist, Incident Investigator, Safety Program Manager. ### What Success Looks Like - Your annotations are accurate, high-quality and consistent, even across ambiguous cases. - You help surface risks early that automated tools miss. - Guidelines and taxonomies improve based on your feedback. - The data you produce directly strengthens AI model safety and compliance. ### Why Join Mercor - Work at the frontier of AI safety, applying your EH&S expertise to a new and growing domain. - Gain experience in a rapidly developing field where operational rigor is highly valued. - Be part of a team committed to making AI systems safer, trustworthy, and aligned with human values.