Hospital Health Data Governance Lead

Hospital Health Data Governance Lead (AI Training)About The RoleWhat if your expertise in healthcare data governance could directly shape how AI understands, interprets, and works with clinical and operational health data? We're looking for experienced health data governance leaders to help ensure that hospital data used in AI training is accurate, trusted, compliant, and ready for real-world clinical, regulatory, and analytical use.This is a fully remote, flexible contract role. You'll bring your deep knowledge of healthcare data systems to a cutting-edge AI project — without leaving the flexibility of freelance work behind.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDefine, apply, and enforce data governance standards to ensure hospital health records are accurate, consistent, and secureWork cross-functionally with clinical, IT, compliance, and leadership stakeholders to align data policies and workflowsIdentify gaps in data quality, consistency, and compliance and recommend actionable remediation strategiesEvaluate and annotate healthcare datasets to support AI model training and validationEnsure governed, high-quality data supports patient care, clinical reporting, analytics, and operational improvementApply knowledge of healthcare regulatory frameworks — including HIPAA — to assess data handling and compliance postureProvide structured, expert-level feedback on data governance scenarios and healthcare data qualityWho You AreExperienced in healthcare data governance, clinical data management, or health information operationsStrong working knowledge of healthcare privacy, compliance, and regulatory frameworks — particularly HIPAASkilled at working across clinical, technical, and administrative teams to align data strategy and executionNaturally detail-oriented with a systematic approach to evaluating data quality and integrityClear communicator who can translate complex governance concepts into actionable guidanceComfortable working independently and asynchronously on structured, task-based assignmentsNice to HavePrior experience with data annotation, data quality evaluation, or AI training workflowsBackground in EHR systems, clinical data warehouses, or health information exchangesFamiliarity with data governance frameworks such as DAMA-DMBOK or AHIMA standardsExperience with healthcare analytics, population health, or value-based care reportingWhy Join UsWork at the intersection of healthcare data expertise and cutting-edge AI developmentFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, task-based workContribute directly to AI systems that could shape the future of healthcare data integrityExposure to large-scale health data systems and real-world AI model training pipelinesPotential for ongoing work and contract extension as new projects launch