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 hospital systems, clinical workflows, and health data compliance? We're looking for experienced health data governance leaders to help build and evaluate AI models that need to understand the real standards, frameworks, and decisions that keep patient data accurate, secure, and trusted. This is a fully remote, flexible contract role built for seasoned professionals in healthcare data management, clinical informatics, or compliance. Bring your expertise — and help ensure the next generation of AI gets healthcare data right.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Apply your knowledge of hospital data governance to evaluate and improve AI-generated content, workflows, and frameworks related to health data
• Assess AI outputs for accuracy, compliance alignment, and clinical relevance across governance scenarios
• Review and provide structured feedback on how AI handles data quality standards, privacy frameworks, and regulatory requirements such as HIPAA
• Identify gaps, errors, or oversimplifications in AI reasoning about healthcare data governance
• Contribute expert-level insight into cross-functional healthcare data workflows spanning clinical, IT, compliance, and operational domains
• Complete task-based assignments independently 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 relevant healthcare privacy and compliance frameworks
• Comfortable navigating cross-functional environments involving clinical, technical, and administrative stakeholders
• Detail-oriented and systematic — you spot inconsistencies and know why they matter in a healthcare context
• Clear and structured written communicator
• Self-motivated and reliable when working independently

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Background in EHR systems, health information management, or clinical informatics
• Familiarity with data governance tools, frameworks, or standards such as DAMA-DMBOK
• Experience in hospital operations, health system compliance, or regulatory reporting

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Apply deep healthcare expertise to a domain where it genuinely matters — shaping how AI understands clinical and operational data
• Potential for ongoing work and contract extension as new projects launch