Hospital Health Data Governance Lead
About this role
About the Role What if your expertise in healthcare data governance could directly shape how AI understands and works with clinical information — influencing systems that will support patient care and medical decision-making for millions of people? We're looking for experienced Hospital Health Data Governance Leads to help train and evaluate cutting-edge AI models being built for the healthcare space. You'll bring your deep knowledge of clinical data standards, compliance frameworks, and cross-functional governance to ensure AI outputs are accurate, trustworthy, and fit for real-world healthcare use. This is a fully remote, flexible contract role. No AI background needed — just deep expertise in hospital health data and the governance frameworks that make it reliable. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Evaluate and provide structured feedback on AI-generated content related to healthcare data governance, clinical data standards, and compliance frameworks - Apply your expertise to assess the accuracy, consistency, and regulatory soundness of AI outputs across clinical and operational health data scenarios - Identify gaps, errors, or risks in how AI models represent data governance concepts — from HIPAA compliance to data quality controls - Help define what "good" looks like for AI handling of health records, clinical workflows, and data policy documentation - Contribute to governance-focused evaluation tasks spanning patient data integrity, interoperability standards, and healthcare analytics readiness - Work independently and asynchronously — fully on your own schedule Who You Are - Experienced in healthcare data governance, clinical data management, or health information operations - Strong working knowledge of HIPAA and other healthcare privacy, compliance, and regulatory frameworks - Familiar with how data flows across clinical, IT, compliance, and administrative functions in hospital environments - Able to evaluate complex governance scenarios and communicate findings clearly in writing - Naturally detail-oriented with a systematic approach to data quality and standards - No prior AI or tech experience required Nice to Have - Experience with data annotation, data quality assessment, or evaluation systems - Familiarity with healthcare interoperability standards such as HL7, FHIR, or ICD coding systems - Background in clinical informatics, health information management, or healthcare analytics - Experience working with EHR systems or enterprise health data platforms - Prior involvement in data stewardship, data cataloguing, or master data management in a hospital setting Why Join Us - Work at the intersection of healthcare expertise and frontier AI research - 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 could meaningfully improve how health data is understood and used at scale - Exposure to large-scale health data systems and model training projects - Potential for ongoing work and contract extension as new projects launch
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