Risk & Compliance (GRC) – Safety Specialist

Remote Full-time
**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 have experience in risk management, compliance programs, or security audits. - You are familiar with frameworks such as ISO 27001, SOC 2, or FedRAMP. - You can build or apply audit checklists, dashboards, and trust center evidence. - You bring a structured, detail-oriented approach to tracking risks and ensuring controls are followed. - Examples of past titles: Risk Analyst, Compliance Manager, GRC Specialist, Security Auditor, Information Assurance Analyst, Internal Auditor, IT Risk Consultant, Risk & Compliance Officer, Controls Testing Analyst. ### 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, 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. Apply tot his job
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