Hospital Health Data Governance Lead

Hospital Health Data Governance Lead (AI Training) 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. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week 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