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 works with clinical information at scale? We're looking for experienced health data governance leaders to help ensure that hospital data used in AI model training is accurate, trusted, compliant, and structured for real-world clinical and operational impact.

This is a fully remote, flexible contract role. If you've spent years working across clinical systems, compliance frameworks, and data operations — this is your opportunity to bring that expertise to one of the most consequential applications of AI in healthcare.

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

What You'll Do

• Define and apply governance standards that ensure hospital health records are accurate, consistent, and secure
• Evaluate and improve how clinical, operational, and administrative health data is structured and managed for AI use
• Identify gaps in data quality, documentation, and compliance — and recommend practical, enforceable solutions
• Assess data workflows across clinical, IT, and compliance functions to surface governance risks and opportunities
• Provide structured, expert feedback on health data systems, policies, and frameworks that inform AI model development
• Work independently on task-based assignments at your own pace

Who You Are

• Experienced in healthcare data governance, clinical data management, or health information operations
• Strong working knowledge of healthcare privacy and regulatory frameworks, including HIPAA
• Skilled at evaluating data quality, consistency, and compliance across complex health environments
• Comfortable working cross-functionally — you understand how clinical, technical, and administrative teams interact
• Detail-oriented and systematic, with a methodical approach to identifying and resolving data issues
• Clear and confident written communicator who can document findings precisely

Nice to Have

• Prior experience with data annotation, data labeling, or AI evaluation workflows
• Background in health informatics, clinical data warehousing, or EHR systems
• Familiarity with data governance frameworks such as DAMA-DMBOK or similar standards
• Experience with data quality tools, MDM systems, or clinical analytics platforms
• Advanced credentials in health information management (RHIA, RHIT, CPHIMS, or equivalent)

Why Join Us

• Work at the forefront of AI and healthcare — your expertise directly shapes how AI models understand clinical data
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Contribute to AI development that has real implications for patient safety and health outcomes
• Exposure to large-scale health data systems and cutting-edge model training environments
• Potential for ongoing work and contract extension as new projects launch