Hospital Health Data Governance Lead

Alignerr Corp.

Indianapolis (IN)

Remote

USD 55,000 - 117,000

Part time

11 hours ago
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Job summary

Alignerr is seeking a Hospital Health Data Governance Lead to help train and evaluate AI models using real-world clinical and operational health data. This fully remote, hourly contract role emphasizes data accuracy, privacy, and governance in hospital environments.

You will review AI outputs, ensure alignment with HIPAA and data quality standards, and provide structured feedback to improve AI understanding of clinical data concepts.

Qualifications

  • Experience in healthcare data governance required.
  • HIPAA and privacy regulations familiarity.
  • Ability to assess AI outputs for data integrity and accuracy.

Responsibilities

  • Evaluate and improve AI outputs related to healthcare data governance and regulatory compliance.
  • Assess AI alignment with data accuracy, security, and hospital workflows.
  • Identify gaps or errors in AI handling of HIPAA and data interoperability.
  • Provide detailed feedback to help AI systems understand clinical, operational, and admin data.
  • Work independently and asynchronously with flexible scheduling.

Skills

Data governance
Clinical data ops
HIPAA compliance
Data quality
Written communication

Job description

Hospital Health Data Governance Lead (AI Training)
About The Role

What if your deep expertise in healthcare data governance could directly shape how AI understands, interprets, and works with clinical and operational health data at scale?

We're looking for experienced Hospital Health Data Governance Leads to help train and evaluate cutting-edge AI models — bringing your real-world knowledge of data accuracy, compliance, and clinical workflows to one of the most consequential applications of AI today.

This is a fully remote, flexible contract role. No prior AI experience needed — just a strong command of healthcare data governance and a sharp eye for quality.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Evaluate and improve AI-generated outputs related to healthcare data governance, clinical data management, and regulatory compliance
  • Apply your expertise to assess whether AI responses accurately reflect real-world standards for data accuracy, security, and integrity in hospital environments
  • Identify gaps, errors, or oversimplifications in how AI handles healthcare data concepts — from HIPAA compliance to cross-functional data workflows
  • Provide structured, detailed feedback that helps AI systems better understand the nuances of clinical, operational, and administrative data
  • Work independently and asynchronously — fully on your own schedule
Who You Are
  • Experienced in healthcare data governance, clinical data operations, or health information management
  • Deeply familiar with healthcare privacy regulations, compliance frameworks, and data quality standards — including HIPAA
  • Comfortable working across clinical, IT, and administrative domains — you understand how data flows across a hospital organization
  • Naturally detail-oriented with a consistent, methodical approach to evaluating quality
  • Clear and concise written communicator who can document feedback effectively
  • No prior AI or tech background required
Nice to Have
  • Prior experience with data annotation, data quality assurance, or evaluation workflows
  • Background in health informatics, EHR systems, or clinical data architecture
  • Familiarity with data governance frameworks such as DAMA-DMBOK or similar standards
  • Experience working with regulatory bodies or leading compliance initiatives in a hospital setting
Why Join Us
  • Work at the forefront of AI development alongside leading research labs and institutions
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Make a tangible impact on how AI understands and handles sensitive, high-stakes healthcare data
  • Contribute expertise that shapes AI systems used across the healthcare industry
  • Potential for ongoing work and contract extension as new projects launch
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