Hospital Health Data Governance Lead

Alignerr; Cincinnati (OH); À distance; USD 83 000 - 165 000; Temps partiel

Résumé du poste

Alignerr Corp. is seeking a Hospital Health Data Governance Lead (AI Training) for a remote hourly contract. You will evaluate AI outputs on hospital data governance, assess regulatory alignment, and provide expert feedback to improve AI understanding of healthcare data quality and interoperability.

The role emphasizes independent work, 10–40 hours per week, and strong communication across clinical, IT, and compliance teams. No AI industry background is required.

Qualifications

• Experience in hospital or health system data governance and privacy controls.
• Ability to assess AI outputs against healthcare data standards and real‑world use.
• Clear, structured written feedback for cross‑functional teams.

Responsabilités

• Evaluate AI-generated hospital data governance content for accuracy and applicability.
• Identify gaps and oversimplifications in data management and compliance needs.
• Apply HIPAA and related standards to assess AI outputs against expectations.
• Provide structured feedback to improve AI understanding of governance workflows.
• Review data integrity, lifecycle management, and interoperability scenarios.

Connaissances

HIPAA compliance

Healthcare data governance

Regulatory alignment

Cross-functional communication

Description du poste

Hospital Health Data Governance Lead (AI Training)

About The Role

What if your expertise in healthcare data governance could directly shape how AI understands, evaluates, and reasons about one of the most complex and high-stakes domains in the world — hospital health data? We're looking for experienced health data governance professionals to help us build and validate AI systems that must understand the real-world standards, frameworks, and challenges of managing clinical and operational data in hospital environments. Your deep knowledge of how data governance actually works — from policy design to cross-functional alignment — will directly influence how AI models reason about healthcare data quality, compliance, and integrity. This is a fully remote, flexible contract role. No AI background needed — just strong, hands‑on expertise in hospital or healthcare data governance and a sharp eye for what good looks like.

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

What You'll Do

• Evaluate AI-generated content, frameworks, and outputs related to hospital data governance for accuracy, completeness, and real‑world applicability
• Identify gaps, errors, and oversimplifications in how AI represents clinical data management, compliance requirements, and governance workflows
• Apply your knowledge of healthcare regulatory frameworks — including HIPAA and related standards — to assess whether AI outputs meet professional expectations
• Provide structured, expert feedback that helps AI systems better understand the nuances of cross-functional data governance in hospital settings
• Review scenarios involving clinical data integrity, data lifecycle management, and interoperability across care settings
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Experienced in healthcare data governance, clinical data management, or health information operations within a hospital or health system
• Strong command of healthcare privacy and compliance frameworks, particularly HIPAA
• Familiar with the realities of aligning data policies across clinical, IT, compliance, and administrative teams
• Naturally detail‑oriented — you notice when something doesn't reflect how governance actually works in practice
• Clear and structured written communicator who can articulate expert feedback effectively
• No prior AI or tech industry experience required

Nice to Have

• Experience with data quality programs, data annotation, or clinical data evaluation
• Background in health informatics, clinical operations, or regulatory affairs
• Familiarity with EHR systems, data warehousing, or interoperability standards such as HL7 or FHIR
• Experience working across large, complex healthcare organizations with multiple stakeholder groups

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
• Put your specialized expertise to work on problems that matter — at the intersection of healthcare and advanced AI
• Potential for ongoing work and contract extension as new projects launch