Remote Health Data Governance Lead for AI Training

Alignerr Corp.; Columbus (OH); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how AI interprets clinical data. The role is fully remote, hourly contract, 10-40 hours per week, offering flexible scheduling for professionals with healthcare data governance expertise.

You will evaluate AI outputs, apply HIPAA-compliant governance, and ensure data quality across hospital data scenarios. Collaboration across clinical, IT, and regulatory teams will help the AI reflect real-world environments and

Qualifications

• Experienced in healthcare data governance, clinical data management, or health information operations.
• Strong knowledge of HIPAA and healthcare privacy/regulatory frameworks.
• Ability to think across clinical, IT, and compliance domains.
• Detail-oriented with a structured approach to evaluating information.
• Clear, precise written communication for explaining reasoning.

Responsibilities

• Evaluate AI outputs related to hospital data governance and clinical data management for accuracy.
• Apply governance frameworks, data quality standards, and HIPAA requirements to assess AI responses.
• Identify gaps or unrealistic assumptions in how AI handles health data scenarios.
• Provide structured feedback to help AI reflect real-world hospital data environments.
• Collaborate across clinical, operational, and regulatory domains to assess AI outputs.
• Complete task-based assignments independently and asynchronously.

Skills

Healthcare data governance

HIPAA knowledge

Regulatory frameworks

Data quality standards

Cross-functional thinking

Written communication

Tools

EHR systems

Job description

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how AI interprets clinical data. The role is fully remote, hourly contract, 10-40 hours per week, offering flexible scheduling for professionals with healthcare data governance expertise.

You will evaluate AI outputs, apply HIPAA-compliant governance, and ensure data quality across hospital data scenarios. Collaboration across clinical, IT, and regulatory teams will help the AI reflect real-world environments and