Alignerr
Hospital Health Data Governance Lead
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Hospital Health Data Governance Lead (AI Training)
About The Role
What if your expertise in healthcare data governance could directly shape how AI understands, processes, and reasons about clinical and operational health information? We're looking for experienced Hospital Health Data Governance Leads to bring real-world healthcare data knowledge to cutting-edge AI training projects — helping ensure AI systems handle health data with the accuracy, integrity, and compliance that patient care demands.
This is a fully remote, flexible contract role. No prior AI background needed — just deep experience in healthcare data governance and a sharp eye for quality, compliance, and clinical relevance.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Apply your healthcare data governance expertise to evaluate, annotate, and improve AI-generated content related to clinical data standards, compliance frameworks, and health information workflows
- Assess AI outputs for accuracy, consistency, and alignment with real-world hospital data governance practices
- Identify gaps, errors, or compliance risks in AI-generated healthcare data content — including HIPAA-related scenarios, clinical data quality issues, and regulatory edge cases
- Provide structured, expert feedback that helps AI systems better understand the nuances of hospital data environments
- Draw on cross-functional experience spanning clinical, IT, and compliance domains to evaluate AI reasoning across complex healthcare scenarios
- Work independently and asynchronously — fully on your own schedule
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Who You Are
- Experienced in healthcare data governance, clinical data management, or health information operations
- Strong working knowledge of healthcare privacy, compliance, and regulatory frameworks — including HIPAA and related standards
- Comfortable navigating the intersection of clinical, technical, and administrative healthcare domains
- Detail-oriented and systematic — you can spot inconsistencies, compliance gaps, and data quality issues quickly
- Clear and structured written communicator who can document feedback effectively
- No prior AI or machine learning experience required
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Nice to Have
- Experience with data annotation, data quality evaluation, or structured review workflows
- Familiarity with EHR systems, health information exchanges, or clinical data warehouses
- Background in health informatics, clinical operations, or healthcare compliance
- Prior involvement in data stewardship programs, governance committee work, or policy development
- Exposure to interoperability standards such as HL7, FHIR, or ICD coding systems
Why Join Us
- Work at the forefront of healthcare AI alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Apply your specialized healthcare expertise to a domain where it genuinely matters
- Gain exposure to large-scale health data systems and next-generation AI model development
- Potential for ongoing work and contract extension as new projects launch
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Jessica, London
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