Hospital Health Data Governance Lead
Alignerr
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 workflows, and health data compliance?
We're looking for experienced Hospital Health Data Governance Leads to help train and evaluate cutting-edge AI models — bringing real-world knowledge of healthcare data quality, HIPAA compliance, and clinical operations to ensure AI gets it right where it matters most.
This is a fully remote, flexible contract role. No AI background needed — just deep expertise in health data governance and a sharp eye for accuracy.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated content related to hospital data governance, clinical data management, and healthcare compliance for accuracy and real-world validity
- Identify gaps, inaccuracies, and unrealistic recommendations in AI outputs related to data governance frameworks and health information standards
- Apply your expertise in HIPAA, data quality controls, and cross-functional healthcare workflows to assess and improve AI responses
- Provide structured, expert-level feedback using clear evaluation rubrics
- Draw on your experience with clinical, IT, and compliance stakeholders to spot nuanced errors that only a domain expert would catch
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Experienced in healthcare data governance, health information management, or clinical data operations
- Strong command of healthcare privacy regulations and compliance frameworks, including HIPAA
- Familiar with cross-functional healthcare environments — working across clinical, technical, and administrative teams
- Naturally detail-oriented with a consistent, methodical approach to evaluating complex information
- Able to clearly articulate why something is accurate, incomplete, or misleading in a healthcare data context
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality assurance, or evaluation systems
- Background in health informatics, clinical informatics, or health IT implementation
- Familiarity with EHR systems, data warehousing, or healthcare analytics platforms
- Experience with regulatory reporting, audits, or accreditation in a hospital setting
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Apply your specialized healthcare expertise to shape how AI understands one of the world's most critical industries
- Potential for ongoing work and contract extension as new projects launch
