Hospital Health Data Governance Lead

Alignerr Corp.; France; Remoto; EUR 83.000 - 165.000; Part-time

Descrizione del lavoro

Alignerr invites an experienced Hospital Health Data Governance Lead to shape AI systems trained on clinical data. This remote, hourly contract role suits professionals who ensure data accuracy, privacy and compliance in high-stakes health environments.

You'll evaluate AI outputs, review HIPAA and data workflows, and provide structured feedback while working independently on a flexible schedule. 10–40 hours per week possible.

Competenze

• Experience in healthcare data governance or clinical data management.
• Strong knowledge of HIPAA and privacy regulations.
• Able to document findings clearly in writing.
• Comfortable working across clinical, IT and admin domains.

Mansioni

• Evaluate AI outputs for hospital data governance accuracy.
• Assess AI reasoning around HIPAA, data quality, workflows.
• Identify gaps and inconsistencies in how AI handles health data.
• Provide expert feedback on governance scenarios and policies.
• Help define quality benchmarks for AI behavior.
• Work independently and asynchronously.

Conoscenze

Healthcare data governance

Clinical data management

HIPAA compliance

Data quality

Descrizione del lavoro

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 navigates one of the most complex, high-stakes data environments in the world? We're looking for experienced Hospital Health Data Governance Leads to help evaluate, validate, and improve AI systems trained on clinical and operational health data — ensuring the AI that supports patient care is built on accurate, compliant, and trustworthy foundations.
This is a fully remote, flexible contract role designed for seasoned healthcare data professionals. If you've spent years making sure hospital data is accurate, secure, and compliant — this is your opportunity to bring that expertise to the frontier of AI development.

• 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, clinical data management, and healthcare compliance for accuracy and reliability
• Review and assess AI reasoning around frameworks such as HIPAA, data quality standards, and clinical data workflows
• Identify gaps, errors, and inconsistencies in how AI models handle sensitive health data concepts
• Provide structured, expert-level feedback on data governance scenarios, policies, and decision-making processes
• Help define quality benchmarks for AI behavior in complex healthcare data contexts
• 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 regulations and compliance frameworks, including HIPAA
• Comfortable working across clinical, IT, and administrative domains — you understand all sides of the hospital data ecosystem
• Naturally detail-oriented with a systematic, rigorous approach to evaluating complex information
• Clear and precise written communicator who can document findings and reasoning effectively
• No prior AI or tech experience required — your healthcare expertise is what matters
  

Nice to Have

• Prior experience with data annotation, data quality evaluation, or information governance audits
• Familiarity with EHR systems, clinical data warehouses, or health analytics platforms
• Background in health informatics, clinical operations, compliance, or health IT
• Experience working with cross-functional teams in regulated healthcare environments
  

Why Join Us

• Work on cutting-edge AI projects 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
• Contribute directly to making AI safer and more trustworthy in high-stakes healthcare environments
• Work at the intersection of deep clinical expertise and next-generation AI development
• Potential for ongoing work and contract extension as new projects launch