Hospital Health Data Governance Lead

Alignerr Corp.; Austin (CO); Remote; USD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking a Hospital Health Data Governance Lead to help train and evaluate AI models that handle clinical and operational health data. This remote hourly contract role offers flexible scheduling and collaboration with health data teams.

You will evaluate AI outputs against healthcare governance standards, apply HIPAA regulations, and provide structured feedback to improve data quality, privacy, and interoperability across hospital systems.

Qualifications

• Experience in healthcare data governance.
• Strong knowledge of HIPAA and privacy laws.
• Clear, structured written communication of complex findings.

Responsibilities

• Evaluate AI-generated outputs related to hospital data governance frameworks, clinical data quality, and healthcare compliance.
• Apply HIPAA and other regulatory standards to assess accuracy, compliance, and clinical soundness of AI responses.
• Identify gaps, errors, or unsafe assumptions in AI-generated healthcare data governance content.
• Provide structured, detailed feedback to help AI systems better understand cross-functional hospital data workflows.
• Review scenarios involving clinical data integrity, data security, interoperability, and policy enforcement.
• Work independently and asynchronously — fully on your own schedule.

Job description

What if your expertise in healthcare data governance could directly shape how AI understands, interprets, and works with clinical and operational health data? We're looking for experienced Hospital Health Data Governance Leads to help train and evaluate cutting-edge AI models — ensuring they accurately reflect the standards, frameworks, and complexities of real-world hospital data environments.

About The Role

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

What You'll Do

• Evaluate AI-generated outputs related to hospital data governance frameworks, clinical data quality, and healthcare compliance
• Apply your expertise in HIPAA and other regulatory standards to assess whether AI responses are accurate, compliant, and clinically sound
• Identify gaps, errors, or unsafe assumptions in AI-generated healthcare data governance content
• Provide structured, detailed feedback that helps AI systems better understand cross-functional hospital data workflows
• Review scenarios involving clinical data integrity, data security, interoperability, and policy enforcement
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Experienced in healthcare data governance, clinical data management, or health information operations
• Strong working knowledge of healthcare privacy laws and regulatory frameworks, including HIPAA
• Comfortable navigating the intersection of clinical, IT, compliance, and administrative stakeholders
• Methodical and detail-oriented — you spot inconsistencies and know what good governance looks like in practice
• Clear, structured written communicator who can articulate complex findings concisely
• No prior AI or machine learning experience required

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation workflows
• Familiarity with EHR systems, health data standards (HL7, FHIR), or clinical informatics
• Background in hospital administration, health IT, or clinical operations
• Experience with data stewardship programs or enterprise data governance initiatives

Why Join Us

• Work at the cutting edge of healthcare AI alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Make a direct impact on how AI understands and handles sensitive health data
• Contribute to AI development that has real consequences for patient safety and clinical decision-making
• Potential for ongoing work and contract extension as new projects launch