Hospital Health Data Governance Lead

About The Role

What if your expertise in healthcare data governance could directly shape how AI understands and reasons about clinical information — influencing systems that will power the next generation of healthcare technology? We're looking for experienced Hospital Health Data Governance Leads to bring deep domain knowledge to cutting-edge AI training projects. You'll help ensure that AI systems working with health data are grounded in real-world governance standards — accurate, compliant, and clinically sound. This is a fully remote, flexible contract role. No prior AI background needed — just proven expertise in healthcare data governance and a sharp eye for quality.

What You'll Do

• Apply real-world hospital data governance expertise to evaluate, annotate, and improve AI-generated content related to clinical data management and health information systems
• Review AI outputs for accuracy, compliance alignment, and clinical relevance — flagging gaps, errors, and areas of risk
• Define and assess governance frameworks, data quality standards, and healthcare compliance concepts as they appear in AI-generated scenarios
• Provide structured, expert feedback that helps AI systems better understand complex healthcare data environments
• Work across clinical, IT, compliance, and operational domains to ensure AI reasoning reflects real hospital workflows
• Complete task-based assignments independently on your own schedule

Who You Are

• Experienced in healthcare data governance, clinical data management, or health information operations
• Strong working knowledge of healthcare privacy, compliance, and regulatory frameworks — including HIPAA and related standards
• Proven ability to work across clinical, technical, and administrative functions in a hospital or health system environment
• Naturally detail-oriented with a systematic, methodical approach to evaluating complex information
• Clear and precise written communicator — able to explain governance concepts and document feedback effectively
• Self-motivated and reliable when working independently without direct supervision

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Background in EHR systems, health informatics, or clinical data architecture
• Familiarity with data stewardship, master data management, or interoperability standards such as HL7 or FHIR
• Experience in regulatory reporting, accreditation, or clinical audit environments

Why Join Us

• Work at the intersection of healthcare expertise and advanced AI development alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Contribute to AI systems that could meaningfully improve how health data is understood and used at scale
• Exposure to large-scale health data systems and frontier AI model training
• Potential for ongoing work and contract extension as new projects launch