Hospital Health Data Governance Lead

Alignerr; Indianapolis (IN); À distance; USD 55 000 - 96 000; Temps partiel

Résumé du poste

Alignerr seeks a Hospital Health Data Governance Lead to train and evaluate AI models handling clinical and operational health data. This remote, hourly contract role emphasizes data accuracy, privacy, and governance expertise, with flexible commitment of 10–40 hours per week.

You'll work asynchronously, providing detailed feedback on AI outputs related to healthcare data concepts, regulatory alignment, and data flows across hospital environments.

Qualifications

• Experienced in healthcare data governance, clinical data operations, or health information management.
• Deep familiarity with privacy regulations, compliance frameworks, and data quality standards — including HIPAA.

Responsabilités

• Evaluate and improve AI-generated outputs related to healthcare data governance, clinical data management, and regulatory compliance.
• Assess whether AI responses reflect real-world standards for data accuracy, security, and integrity in hospital environments.
• Identify gaps or inaccuracies in how AI handles healthcare data concepts—from HIPAA to cross-functional data workflows.
• Provide structured, detailed feedback to help AI systems better understand clinical, operational, and administrative data.

Connaissances

Healthcare data governance

HIPAA compliance

Data quality assurance

Documentation

Written communication

Remote collaboration

Description du poste

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