About the Role
What if your expertise in healthcare data governance could directly shape how AI understands and reasons about clinical information — influencing systems that will impact patient care for millions of people?
We're looking for experienced Hospital Health Data Governance Leads to bring their real-world clinical data expertise to cutting-edge AI projects. You'll help ensure that AI models trained on healthcare data reflect the accuracy, compliance, and integrity standards the industry demands.
This is a fully remote, flexible contract role built for seasoned health informatics and data governance professionals who want meaningful work on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Apply your healthcare data governance expertise to evaluate, structure, and validate health data used in AI model training
- Define and assess governance frameworks, data quality standards, and compliance controls within AI training workflows
- Identify gaps, inconsistencies, and risks in health data sets — flagging issues with clear, structured documentation
- Work across clinical, operational, and technical domains to ensure AI-ready data meets regulatory and quality standards
- Review and provide expert feedback on AI-generated healthcare content, workflows, and data structures
- Complete task-based assignments independently on your own schedule
Who You Are
- Experienced in healthcare data governance, clinical data management, or health informatics
- Strong working knowledge of healthcare privacy laws and regulatory frameworks — including HIPAA and related standards
- Able to think cross-functionally across clinical, technical, and compliance domains
- Detail-oriented with a systematic approach to evaluating data quality and governance controls
- Clear and structured written communicator who can document findings effectively
- Self-motivated and reliable when working independently
Nice to Have
- Prior experience with data annotation, data labeling, or AI evaluation workflows
- Background in EHR systems, health information management, or clinical informatics
- Experience with data quality frameworks, master data management, or regulatory audits
- Familiarity with AI tools or large-scale health data systems
Why Join Us
- Work at the intersection of healthcare data and advanced AI — a genuinely rare opportunity
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, project-based work
- Contribute expertise that shapes how AI handles one of the most consequential data domains in the world
- Exposure to large-scale health data systems and frontier AI model development
- Potential for ongoing work and contract extension as new projects launch