Hospital Health Data Governance Lead

Hospital Health Data Governance Lead (AI Training)
About The Role
What if your deep expertise in healthcare data governance could directly shape how AI understands and works with clinical information for millions of patients? We're looking for experienced Hospital Health Data Governance Leads to help ensure that hospital data used in AI training is accurate, trusted, compliant, and ready for clinical, regulatory, and analytical use.
This is a fully remote, flexible contract role built for healthcare data professionals who know how to bridge clinical, technical, and compliance worlds. If you've spent time wrangling health records, enforcing data standards, or navigating HIPAA in complex hospital environments — this is your opportunity to apply that expertise at the frontier of AI.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Evaluate and apply governance standards to ensure hospital health data is accurate, consistent, and secure
Assess data quality frameworks across clinical, operational, and administrative data domains
Identify gaps in data policies, workflows, and controls — and recommend practical improvements
Review and validate data governance documentation for compliance with healthcare regulatory frameworks including HIPAA
Work across clinical, IT, and compliance contexts to align data policies and ensure appropriate data use
Support the development of high-quality, governed health data assets suitable for AI model training and evaluation
Complete task-based assignments independently on your own schedule
Who You Are
Experienced in healthcare data governance, data management, or clinical data operations within a hospital or health system setting
Strong working knowledge of healthcare privacy, compliance, and regulatory requirements — especially HIPAA
Able to evaluate data quality, consistency, and governance controls across complex, multi-stakeholder environments
Comfortable working cross-functionally with clinical, technical, and administrative perspectives
Detail-oriented and systematic in your approach — you spot data integrity issues others miss
Self-motivated and reliable when working independently without direct supervision
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI training datasets
Background in health informatics, clinical data management, or healthcare compliance
Familiarity with EHR systems, data dictionaries, or healthcare interoperability standards (HL7, FHIR)
Experience designing or auditing data governance frameworks in regulated healthcare environments
Why Join Us
Work at the intersection of healthcare data and cutting-edge AI — a genuinely rare opportunity
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, domain-specific work
Contribute directly to AI systems that could shape the future of clinical decision-making and patient care
Exposure to large-scale health data systems and how leading AI research teams approach clinical data
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes