Hospital Health Data Governance Lead

Alignerr; España; Remote; EUR 61,000 - 147,000; Part time

Job summary

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) for a remote hourly contract. Bring deep expertise in clinical data governance to evaluate AI-generated content, ensure regulatory compliance, and improve AI training outcomes in hospital data environments.

You will work asynchronously with a team of domain experts, shaping data standards and quality criteria while remaining flexible with a 10–40 hours/week commitment. Remote, contract-based, and independently driven.

Qualifications

• Experience in healthcare data governance or health informatics.
• Strong HIPAA and health data privacy understanding.
• Ability to translate clinical data into feedback for AI.
• Experience with remote, asynchronous collaboration.
• Detail-oriented with data quality mindset.

Responsibilities

• Evaluate AI-generated content related to clinical data systems.
• Assess AI outputs for accuracy, compliance, and clinical relevance.
• Define governance frameworks, data standards, and quality criteria for AI training tasks.
• Review scenarios on data accuracy, HIPAA compliance, interoperability.
• Provide structured feedback to inform how AI models understand healthcare data environments.
• Collaborate asynchronously with domain experts on your schedule.

Skills

Healthcare data governance

HIPAA compliance

Clinical data management

Data privacy compliance

Cross-functional collaboration

Tools

HL7

FHIR

Job description

Hospital Health Data Governance Lead (AI Training)

What if your expertise in healthcare data governance could directly shape how AI understands and reasons about hospital systems, clinical workflows, and health data compliance? We're looking for experienced Health Data Governance Leads to bring real-world clinical data expertise to cutting-edge AI development — helping ensure AI models reflect the accuracy, integrity, and regulatory rigor that healthcare demands. This is a fully remote, flexible contract role built for seasoned professionals who know what it means to keep health data trusted, compliant, and decision-ready.

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

What You'll Do

• Apply your healthcare data governance expertise to evaluate and improve AI-generated content, outputs, and reasoning related to clinical and hospital data systems
• Assess AI responses for accuracy, compliance alignment, and clinical relevance — flagging gaps, errors, and areas for improvement
• Define and apply governance frameworks, data standards, and quality criteria to AI training tasks
• Review scenarios spanning data accuracy, HIPAA compliance, interoperability, data stewardship, and clinical decision support
• Provide structured, expert-level feedback that directly informs how AI models understand healthcare data environments
• Collaborate asynchronously with a team of domain experts — fully on your own schedule

Who You Are

• Experienced in healthcare data governance, clinical data management, or health informatics
• Strong working knowledge of HIPAA, data privacy regulations, and healthcare compliance frameworks
• Familiar with cross-functional collaboration across clinical, IT, compliance, and operational teams
• Detail-oriented, systematic, and confident evaluating complex data governance scenarios
• Able to translate nuanced healthcare knowledge into clear, structured written feedback
• Comfortable working independently in a remote, task-based environment

Nice to Have

• Experience with data annotation, data quality evaluation, or AI training workflows
• Background in EHR systems, clinical data warehousing, or health data interoperability standards (HL7, FHIR)
• Familiarity with hospital operations, clinical reporting, or regulatory audit processes
• Prior work in healthcare consulting, health IT, or clinical informatics roles

Why Join Us

• Work at the intersection of healthcare expertise and frontier AI development
• Fully remote and flexible — structure your work around your existing schedule
• Freelance autonomy with the depth and meaning of impactful, domain-specific work
• Exposure to large-scale health data systems and real-world AI model training
• Contribute to AI that could meaningfully improve how healthcare data is understood and used at scale
• Potential for ongoing work and contract extension as new projects launch