About the Role
What if your expertise in healthcare data governance could directly shape how AI understands, interprets, and works with clinical and operational health data? We're looking for experienced Hospital Health Data Governance Leads to help ensure that the health data used to train cutting-edge AI models is accurate, compliant, trusted, and clinically meaningful.
This is a fully remote, flexible contract role built for seasoned healthcare data professionals who know how hospitals run, how data flows across clinical and operational systems, and what it takes to govern that data responsibly.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate and define governance standards that ensure hospital health data is accurate, consistent, and compliant with regulatory requirements
- Review and assess data governance frameworks, policies, and controls across clinical, operational, and administrative data domains
- Identify data quality issues, gaps in documentation, and inconsistencies that could undermine clinical or analytical reliability
- Apply your knowledge of healthcare compliance and privacy regulations — including HIPAA — to evaluate and improve data handling practices
- Provide structured, expert feedback on how health data is classified, managed, and used across hospital environments
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Experienced in healthcare data governance, clinical data operations, or health information management
- Strong working knowledge of healthcare privacy, compliance, and regulatory frameworks including HIPAA
- Comfortable navigating cross-functional environments involving clinical, IT, compliance, and administrative stakeholders
- Methodical and detail-oriented — you notice when data standards fall short and know how to fix them
- Clear written communicator who can document findings and recommendations with precision
- 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 informatics, or clinical data architecture
- Familiarity with data governance frameworks such as DAMA-DMBOK or FAIR data principles
- Experience supporting regulatory audits, accreditation processes, or clinical reporting
Why Join Us
- Work at the frontier 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, expert-level project work
- Make a direct impact on how AI systems understand and handle real-world health data
- Contribute to AI development that has genuine consequences for patient care and clinical decision-making
- Potential for ongoing work and contract extension as new projects launch