About the job

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 interprets hospital health systems? We're looking for experienced health data governance leaders to help ensure that the clinical and operational data powering next-generation AI models is accurate, trusted, compliant, and fit for purpose.

This is a fully remote, flexible contract role. You'll bring your deep knowledge of hospital data ecosystems, regulatory frameworks, and cross-functional collaboration to a project where the stakes are real — and your impact is measurable.

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

What You'll Do

Define and enforce governance standards that ensure hospital health records are accurate, consistent, secure, and compliant
Collaborate with clinical, IT, compliance, and operational teams to align data policies and workflows across the organization
Evaluate and improve the quality, structure, and reliability of health data used for clinical decision-making, reporting, and analytics
Identify gaps in data integrity and develop clear, actionable controls to address them
Support the development of AI training datasets grounded in real-world healthcare data governance best practices
Work independently on task-based assignments on your own schedule

Who You Are

Experienced in healthcare data governance, clinical data management, or health information operations
Strong command of healthcare privacy, compliance, and regulatory frameworks — including HIPAA and related standards
Skilled at working cross-functionally with clinical, technical, and administrative stakeholders
Detail-oriented and systematic — you understand how data quality failures ripple through patient care and operations
Clear, structured communicator who can translate complex governance concepts for diverse audiences
Self-motivated and reliable when working independently in a remote environment

Nice to Have

Prior experience with data annotation, data quality evaluation, or AI training workflows
Familiarity with EHR systems, health data standards (HL7, FHIR, ICD coding), or clinical data warehouses
Background in health informatics, clinical operations, or hospital compliance
Experience designing or auditing data governance frameworks at an enterprise level

Why Join Us

Work at the intersection of healthcare data and cutting-edge AI — a rare and high-impact combination
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert-level work
Contribute to AI development that could shape how health data is understood and used at scale
Exposure to large-scale health data systems and real-world AI model training pipelines
Potential for ongoing work and contract extension as new projects launch

Responsibilities