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 works with clinical information at scale? We're looking for experienced Hospital Health Data Governance Leads to bring their deep knowledge of health data systems, compliance frameworks, and clinical operations to cutting-edge AI development. This is a fully remote, flexible contract role built for seasoned professionals who know what it takes to make hospital data accurate, trusted, and compliant — and who want to apply that expertise in a high-impact new context. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week What You'll Do • Define and enforce data governance standards that ensure hospital health records are accurate, consistent, secure, and fit for clinical and operational use • Collaborate across clinical, IT, compliance, and leadership teams to align data policies, workflows, and controls • Evaluate and improve data quality frameworks that support patient care, regulatory reporting, and analytical decision-making • Apply your knowledge of healthcare compliance and privacy regulations — including HIPAA — to assess and guide AI-generated health data outputs • Identify gaps, inconsistencies, and risks in health data systems and document findings with clarity and precision • Work independently and asynchronously on structured, task-based assignments Who You Are • Experienced in healthcare data governance, clinical data management, or health information operations • Deeply familiar with healthcare privacy, compliance, and regulatory frameworks — especially HIPAA • Confident working cross-functionally with clinical, technical, and administrative stakeholders • Detail-oriented, systematic, and able to apply governance standards consistently at scale • Clear written communicator who can document findings and recommendations with precision • Self-motivated and reliable when working independently in a remote environment Nice to Have • Prior experience with data annotation, data quality evaluation, or AI training workflows • Background in health informatics, EHR systems, or clinical data warehousing • Familiarity with data stewardship, master data management, or interoperability standards such as HL7 or FHIR • Experience in hospital administration, clinical operations, or healthcare IT Why Join Us • Work at the intersection of healthcare data and advanced AI — a rare and high-impact combination • Fully remote and flexible — work when and where it suits you • Freelance autonomy with the structure of meaningful, task-based work • Contribute to AI systems that will shape how health data is understood, used, and trusted at scale • Exposure to large-scale health data systems and model training pipelines • Potential for ongoing work and contract extension as new projects launch