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: AlignerrType: Hourly ContractLocation: RemoteCommitment: 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 trainingIdentify gaps, inconsistencies, and compliance risks in healthcare datasets and flag them with clear, structured feedbackApply your knowledge of healthcare governance frameworks — including HIPAA and clinical data standards — to assess data integrity and regulatory alignmentReview and critique AI-generated outputs related to health data management, governance policies, and clinical workflowsCollaborate asynchronously with project teams to define and apply standards that make health data trustworthy and usefulComplete task-based assignments independently on your own schedule
Who You Are
Experienced in healthcare data governance, clinical data management, or health information operationsStrong working knowledge of healthcare privacy regulations and compliance frameworks, including HIPAASkilled at working across clinical, technical, and administrative domains — you understand what each stakeholder needs from dataDetail-oriented and methodical — you catch what others miss and can explain why it mattersClear, structured communicator who can document findings and recommendations with precisionSelf-motivated and reliable when working independently without day-to-day oversight
Nice to Have
Prior experience with data annotation, data quality assurance, or evaluation systemsFamiliarity with EHR systems, clinical coding standards (ICD, SNOMED, HL7/FHIR), or health analytics platformsBackground in health informatics, clinical operations, compliance, or health ITExposure 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 teamsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact workApply rare, specialized expertise to one of the most consequential applications of AI — healthcareContribute to AI systems that could ultimately improve how health data supports patient care at scalePotential for ongoing work and contract extension as new projects launch

Skills
Machine Learning, Patient Care

Work arrangement
Yes