Hospital Health Data Governance Lead

What if your expertise in healthcare data governance could directly shape how AI understands and reasons about clinical information — improving systems that will influence patient care for millions of people?

We're looking for experienced Hospital Health Data Governance Leads to help us build, evaluate, and refine AI models trained on complex health data scenarios. Your deep knowledge of how hospital data works — the standards, the compliance requirements, the cross-functional dynamics — is exactly what's needed to make AI smarter, safer, and more trustworthy in healthcare contexts.

This is a fully remote, flexible contract role. No AI background required — just serious expertise in health data governance and a sharp eye for quality.

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

• Apply your healthcare data governance expertise to evaluate and improve AI-generated content related to clinical data, compliance frameworks, and health data management
• Review AI outputs for accuracy, completeness, and alignment with real-world hospital data standards and regulatory requirements
• Identify gaps, errors, and inconsistencies in how AI represents healthcare data governance concepts — including HIPAA, data quality controls, and interoperability
• Provide structured, detailed feedback that helps AI systems better understand clinical, operational, and compliance data workflows
• Draw on cross-functional experience with clinical, IT, and compliance stakeholders to assess the practical accuracy of AI-generated scenarios
• Work independently and asynchronously — fully on your own schedule

• Experienced in healthcare data governance, clinical data management, or health informatics
• Strong working knowledge of healthcare privacy and regulatory frameworks — particularly HIPAA and related compliance standards
• Familiar with how data policies, workflows, and governance structures operate across hospital environments
• Able to evaluate technical and clinical content with precision and authority
• Clear, structured communicator who can document feedback effectively
• Detail-oriented and consistent — you notice when something doesn't meet the standard
• No prior AI or tech experience required

• Experience with data annotation, data quality evaluation, or information governance systems
• Background working across clinical, IT, compliance, or operational teams in a hospital or health system
• Familiarity with EHR systems, health data standards (HL7, FHIR), or clinical reporting frameworks
• Prior involvement in regulatory audits, data quality initiatives, or governance program development

• Work on cutting-edge AI projects alongside leading research labs and AI development teams
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Contribute to AI development that has real implications for how healthcare data is understood and used
• Exposure to large-scale health data systems and frontier AI model training
• Potential for ongoing work and contract extension as new projects launch