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 Hospital Health Data Governance Leads to help us build and evaluate AI models that need to get healthcare right — accurately, securely, and in full alignment with regulatory standards.

This is a fully remote, flexible contract role. No AI background needed — just deep knowledge of healthcare data governance and a sharp eye for what good looks like in a clinical data environment.

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

What You'll Do

• Apply your healthcare data governance expertise to evaluate and improve AI-generated content related to clinical data management, compliance frameworks, and hospital data operations
• Assess whether AI outputs reflect accurate, trustworthy standards for healthcare data accuracy, security, and regulatory compliance
• Identify gaps, inaccuracies, or unsafe assumptions in how AI handles healthcare data scenarios — including HIPAA-related contexts
• Provide structured, expert feedback on data governance workflows, clinical data quality standards, and cross-functional data policies
• Help define what "correct" looks like when AI reasons about health data governance challenges
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Experienced in healthcare data governance, clinical data management, or health data operations
• Strong working knowledge of healthcare privacy, compliance, and regulatory frameworks — especially HIPAA
• Familiar with cross-functional collaboration across clinical, IT, and administrative stakeholders
• Able to critically assess data governance policies, workflows, and standards for accuracy and completeness
• Naturally detail-oriented with a systematic, methodical approach to quality evaluation
• No prior AI or tech experience required

Nice to Have

• Prior experience with data annotation, data quality assessment, or evaluation systems
• Background in EHR systems, health informatics, or clinical data operations
• Familiarity with data stewardship frameworks or master data management in healthcare settings
• Experience working with compliance teams on regulatory reporting or audit readiness

Why Join Us

• Work at the forefront of healthcare AI 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, task-based work
• Bring your real-world healthcare expertise to AI projects that have genuine industry impact
• Exposure to large-scale health data systems and cutting-edge model training workflows
• Potential for ongoing work and contract extension as new projects launch