Hospital Health Data Governance Lead

Hospital Health Data Governance Lead (AI Training) About The Role What if your deep expertise in healthcare data governance could directly shape how AI understands and works with clinical information — at scale, across the entire healthcare system? We’re looking for experienced Hospital Health Data Governance Leads to help build and evaluate AI systems that interact with real-world health data environments. You’ll bring your knowledge of governance frameworks, clinical data operations, and healthcare compliance to ensure AI outputs are accurate, trustworthy, and aligned with how hospitals actually work. This is a fully remote, flexible contract role. No AI background required — just a strong command of healthcare data governance and a sharp eye for quality. 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 management, and healthcare compliance for accuracy and practical soundness Apply your expertise in governance frameworks, data quality standards, and regulatory requirements such as HIPAA to assess and improve AI responses Identify gaps, inaccuracies, or unrealistic assumptions in how AI handles healthcare data scenarios Provide structured, expert-level feedback that helps AI systems better reflect real-world hospital data environments Work across clinical, operational, and regulatory domains to assess AI outputs from a cross‑functional perspective Complete task‑based assignments independently and asynchronously 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 and regulatory frameworks — HIPAA and beyond Comfortable thinking across clinical, IT, and compliance domains simultaneously Detail‑oriented with a systematic, structured approach to evaluating complex information Clear and precise written communicator able to explain your reasoning and flag issues effectively Self‑motivated and reliable when working independently without direct supervision Nice to Have Prior experience with data annotation, data quality evaluation, or structured data review Background working with EHR systems, health data platforms, or clinical analytics tools Familiarity with data stewardship, metadata management, or master data management in healthcare settings Experience in health informatics, clinical informatics, or health IT consulting 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, expert‑level work Apply your healthcare expertise in a new and impactful domain at the frontier of AI development Contribute to AI systems that could meaningfully improve how health data is understood and used at scale Potential for ongoing work and contract extension as new projects launch #J-18808-Ljbffr