Hospital Health Data Governance Lead

Job summary

Evaluate, structure, and validate healthcare data for AI training, including assessing governance frameworks, data quality standards, and compliance controls. Identify and document data gaps and risks, and review AI-generated healthcare content and data structures to ensure they meet regulatory and quality standards.

Job details

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 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

What you’ll do

Evaluate, structure, and validate healthcare data for AI training, including assessing governance frameworks, data quality standards, and compliance controls. Identify and document data gaps and risks, and review AI-generated healthcare content and data structures to ensure they meet regulatory and quality standards.

Requirements

Candidates should have experience in healthcare data governance, clinical data management, or health informatics, along with working knowledge of HIPAA and related regulatory frameworks. They should be detail-oriented, able to work across clinical, technical, and compliance domains, communicate findings clearly, and work independently; experience with EHR systems, data quality frameworks, audits, or AI evaluation is an advantage.

Benefits

• Fully Remote Work
• Flexible Schedule
• Freelance Autonomy
• Potential for Ongoing Work and Contract Extension

Listed skills

• Regulatory Compliance · Preferred
• Data Validation · Preferred
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Healthcare Data Governance
• Clinical Data Management
• Health Informatics
• Healthcare Privacy Compliance
• HIPAA
• Data Quality Assessment
• Governance Frameworks
• Regulatory Compliance
• Data Validation
• Risk Identification
• Structured Documentation
• Cross-Functional Collaboration
• EHR Systems
• Master Data Management
• Data Annotation
• AI Evaluation

Job areas

• Healthcare
• Data & Analytics
• Technology
• Management & Leadership

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