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 hospital systems, clinical records, and health compliance? We're looking for experienced Hospital Health Data Governance Leads to bring real-world knowledge to cutting-edge AI projects — helping ensure that AI models built for healthcare contexts are accurate, trustworthy, and clinically sound.

This is a fully remote, flexible contract role. If you've spent years ensuring health data is clean, compliant, and fit for clinical and operational use, your knowledge is exactly what the next generation of healthcare AI needs.

Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week

What You'll Do

Apply your healthcare data governance expertise to evaluate, annotate, and improve AI-generated content related to clinical data management and hospital operations Review AI outputs for accuracy, compliance alignment, and clinical appropriateness — flagging gaps, errors, and inconsistencies Help define quality standards for how AI models handle sensitive health data concepts, regulatory frameworks, and governance workflows Work across clinical, IT, and compliance domains to ensure AI reasoning reflects real-world healthcare data practices Provide structured, expert feedback using evaluation tools designed for healthcare subject matter Complete task-based assignments independently on your own schedule

Who You Are

Experienced in healthcare data governance, clinical data management, or health information operations Deep understanding of healthcare privacy, compliance, and regulatory frameworks — including HIPAA and related standards Comfortable working across clinical, technical, and administrative domains Detail-oriented with a systematic, methodical approach to evaluating information quality Strong written communicator who can document findings clearly and concisely Self-motivated and reliable when working independently without supervision

Nice to Have

Prior experience with data annotation, data quality assurance, or evaluation systems Background in health informatics, clinical documentation, or EHR systems Familiarity with AI tools or content evaluation workflows Experience with data stewardship, master data management, or interoperability frameworks (HL7, FHIR, etc.)

Why Join Us

Work on cutting-edge AI projects alongside leading research labs and AI teams Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, expert-level task-based work Contribute directly to how AI understands and operates within healthcare environments Work at the intersection of health data and advanced AI — a space that is defining the future of medicine Potential for ongoing work and contract extension as new projects launch