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 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