Hospital Health Data Governance Lead

Hospital Health Data Governance Lead (AI Training)
About The Role
What if your expertise in hospital data governance could directly shape how AI understands, interprets, and works with healthcare information at scale? We're looking for experienced health data governance leaders to help ensure that the healthcare data used to train cutting-edge AI models is accurate, compliant, and clinically meaningful.
This is a fully remote, flexible contract role. You'll work at the intersection of healthcare and advanced AI — contributing deep domain knowledge that most people simply don't have.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Evaluate and provide expert guidance on the quality, accuracy, and consistency of hospital health data used in AI model training
Identify gaps, inconsistencies, and compliance risks in healthcare datasets and flag them with clear, structured feedback
Apply your knowledge of healthcare governance frameworks — including HIPAA and clinical data standards — to assess data integrity and regulatory alignment
Review and critique AI-generated outputs related to health data management, governance policies, and clinical workflows
Collaborate asynchronously with project teams to define and apply standards that make health data trustworthy and useful
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 regulations and compliance frameworks, including HIPAA
Skilled at working across clinical, technical, and administrative domains — you understand what each stakeholder needs from data
Detail-oriented and methodical — you catch what others miss and can explain why it matters
Clear, structured communicator who can document findings and recommendations with precision
Self-motivated and reliable when working independently without day-to-day oversight
Nice to Have
Prior experience with data annotation, data quality assurance, or evaluation systems
Familiarity with EHR systems, clinical coding standards (ICD, SNOMED, HL7/FHIR), or health analytics platforms
Background in health informatics, clinical operations, compliance, or health IT
Exposure to AI tools, machine learning workflows, or data labeling platforms
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, high-impact work
Apply rare, specialized expertise to one of the most consequential applications of AI — healthcare
Contribute to AI systems that could ultimately improve how health data supports patient care at scale
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No