Remote Health Data Governance Lead for AI Training

Alignerr Corp.

Salt Lake City (UT)

On-site

USD 83,000 - 165,000

Full time

2 days ago
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Job summary

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how AI interacts with clinical data. This fully remote, hourly-contract role offers flexible scheduling and the chance to influence governance for hospital data used in AI model training.

You will evaluate AI-generated hospital data content, ensure compliance with privacy standards, and provide precise, expert feedback to improve data governance across clinical, IT, and administrative interfaces.

Qualifications

  • Experience in healthcare data governance or clinical data operations.
  • Strong knowledge of HIPAA and privacy frameworks.
  • Ability to document findings clearly and precisely.

Responsibilities

  • Evaluate and validate AI-generated content related to hospital data governance and compliance.
  • Assess AI outputs against real-world governance practices.
  • Identify gaps, inaccuracies, or compliance risks in healthcare data frameworks.
  • Define and apply quality standards for AI data accuracy, security, and regulatory requirements.
  • Provide structured feedback using evaluation tools and rating frameworks.
  • Collaborate asynchronously with project teams to align on governance criteria.
  • Work independently on task-based assignments on your schedule.

Skills

Healthcare data governance
Clinical data management
Health information operations
HIPAA knowledge
Cross-functional collaboration

Job description

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how AI interacts with clinical data. This fully remote, hourly-contract role offers flexible scheduling and the chance to influence governance for hospital data used in AI model training.

You will evaluate AI-generated hospital data content, ensure compliance with privacy standards, and provide precise, expert feedback to improve data governance across clinical, IT, and administrative interfaces.

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