Hospital Health Data Governance Lead

Hospital Health Data Governance Lead (AI Training) About The Role What if your expertise in healthcare data governance could directly shape how AI understands and reasons about clinical information — influencing the future of medicine for millions of patients? We’re looking for experienced Hospital Health Data Governance Leads to help evaluate, validate, and improve AI systems trained on complex healthcare data. Your deep knowledge of clinical data standards, compliance frameworks, and cross-functional governance will ensure that AI models handle health information the way real experts do — accurately, securely, and responsibly. This is a fully remote, flexible contract role built for seasoned healthcare data professionals who want to contribute their expertise to one of the most consequential frontiers in technology. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You’ll Do Evaluate AI-generated outputs related to hospital data governance, clinical data quality, and health information management for accuracy and real-world applicability Review and assess AI reasoning around regulatory frameworks such as HIPAA, data stewardship practices, and clinical data lifecycle management Identify gaps, errors, or oversimplifications in how AI models represent healthcare data governance concepts Provide structured, expert feedback that helps AI systems reason more reliably about health data compliance, integrity, and interoperability Apply cross-functional knowledge spanning clinical operations, IT, compliance, and data management to evaluate complex scenarios 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 command of healthcare privacy regulations and compliance frameworks, including HIPAA Proven ability to work across clinical, technical, and administrative domains Naturally detail-oriented — you catch inconsistencies and care deeply about data quality Clear and structured written communicator who can articulate expert reasoning precisely Comfortable evaluating nuanced, domain-specific content independently Nice to Have Prior experience with data annotation, data quality assurance, or evaluation systems Familiarity with EHR platforms, healthcare interoperability standards (HL7, FHIR), or clinical data warehouses Background in health informatics, clinical operations, or regulatory compliance Experience contributing to AI training, content review, or expert evaluation projects Why Join Us Work at the intersection of healthcare expertise and cutting-edge AI development Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, expert-level work Contribute directly to AI systems that will influence how health data is understood and used at scale Exposure to large-scale health data challenges and frontier model training Potential for ongoing work and contract extension as new projects launch #J-18808-Ljbffr