Hospital Health Data Governance Lead
About this role
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
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