Hospital Health Data Governance Lead

Alignerr Corp.; Charlotte (AR); Remote; USD 83,000 - 152,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Contract: hourly

Job summary

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to ensure hospital data used in AI training is accurate, trusted, and compliant. This fully remote, hourly contract role offers flexible hours (10–40 hours/week) and the chance to shape data governance for clinical AI.

You will evaluate health records, identify data gaps and risks, and provide structured feedback to improve data quality and governance controls across clinical and IT domains.

Qualifications

• Experience leading healthcare data governance programs.
• Strong understanding of HIPAA and data privacy requirements.
• Ability to assess data quality across clinical and operational domains.
• Detail-oriented with ability to document findings clearly.

Responsibilities

• Evaluate hospital health records for accuracy, consistency, completeness, and security.
• Identify gaps, inconsistencies, and compliance risks in data structures, workflows, and documentation.
• Assess data policies' support for safe patient care and informed decision‑making.
• Provide structured feedback on data quality, classification, and governance controls.
• Work independently and asynchronously.

Skills

Healthcare data governance

HIPAA knowledge

Data quality assessment

Regulatory compliance

Cross-functional collaboration

Written communication

Tools

EHR systems

Data governance frameworks

Job description

Hospital Health Data Governance Lead (AI Training)

What if your expertise in healthcare data governance could directly shape how AI understands, interprets, and works with clinical and hospital data at scale? We're looking for experienced health data governance leaders to help ensure that the hospital data used in cutting-edge AI training is accurate, trusted, compliant, and ready for clinical, regulatory, and analytical use.

This is a fully remote, flexible contract role. You don't need an AI background — just deep experience in healthcare data governance and a sharp eye for data quality and compliance.

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

What You'll Do

• Evaluate and validate hospital health records for accuracy, consistency, completeness, and security against established governance standards
• Identify gaps, inconsistencies, and compliance risks in healthcare data structures, workflows, and documentation
• Apply knowledge of clinical, IT, and compliance frameworks to assess whether data policies support safe patient care and informed decision-making
• Review and provide structured, detailed feedback on health data quality, classification, and governance controls
• Work independently and asynchronously — on your own schedule

Who You Are

• Experienced in healthcare data governance, clinical data management, or health information operations
• Strong working knowledge of healthcare privacy and regulatory frameworks — including HIPAA and related standards
• Able to evaluate data quality across clinical, operational, and administrative domains
• Detail-oriented and systematic — you notice when data doesn't meet the standards it should
• Comfortable working cross-functionally across clinical, technical, and administrative contexts
• Clear and concise written communicator who can document findings effectively

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training data workflows
• Background in EHR systems, health information management, or clinical informatics
• Familiarity with data governance frameworks such as DAMA-DMBOK or FAIR data principles
• Experience in hospital compliance, audit, or regulatory reporting environments

Why Join Us

• Work at the intersection of healthcare data and some of the most advanced AI research in the world
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Exposure to large-scale health data systems and real-world AI model training pipelines
• Contribute to AI development that could meaningfully improve how clinical systems understand and use health data
• Potential for ongoing work and contract extension as new projects launch