Hospital Health Data Governance Lead

Alignerr; India; Remote; INR 1,653,000 - 3,031,000; Part time

Job summary

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how AI interprets clinical data at scale. This fully remote, hourly contract role is designed for seasoned professionals with deep domain expertise in healthcare data quality, governance, and regulatory compliance.

You will evaluate AI-generated healthcare data frameworks, identify data quality gaps, and apply HIPAA and related regulations to improve AI outputs.

Qualifications

• Extensive experience in healthcare data governance and quality control.
• Proven ability to assess AI outputs against regulatory standards.
• Clear, structured written communication.
• Comfort working across clinical, IT, and compliance contexts.

Responsibilities

• Evaluate AI-generated healthcare data frameworks for accuracy and regulatory alignment.
• Identify data quality gaps in governance logic and compliance reasoning.
• Apply HIPAA and other regulatory frameworks to improve AI outputs.
• Provide structured expert feedback on hospital data governance scenarios.
• Collaborate across clinical, IT, and compliance teams on data workflows.
• Complete tasks independently on your schedule.

Skills

Data governance

Health informatics

HIPAA knowledge

Clinical data management

Education

Bachelor's in Healthcare Informatics

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 information at scale? We're looking for experienced Hospital Health Data Governance Leads to help evaluate and improve AI systems trained on complex health data — ensuring they reflect the accuracy, compliance standards, and real-world nuance that clinical environments demand.

About The Role

This is a fully remote, flexible contract role built for seasoned professionals who understand the intersection of healthcare data, compliance, and operational decision-making. No prior AI background required — just deep domain expertise and a rigorous approach to data quality.

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

What You'll Do

• Evaluate AI-generated healthcare data frameworks, policies, and outputs for accuracy, consistency, and regulatory alignment
• Identify gaps in data quality, governance logic, and compliance reasoning within AI-generated clinical content
• Apply your knowledge of HIPAA and other healthcare regulatory frameworks to assess and improve AI outputs
• Review and provide structured, expert feedback on how AI handles hospital data governance scenarios
• Work across clinical, IT, and compliance contexts to assess cross-functional data workflow simulations
• Complete task-based assignments independently on your own schedule

Who You Are

• Experienced in healthcare data governance, clinical data management, or health informatics
• Strong working knowledge of healthcare privacy and compliance frameworks — particularly HIPAA
• Skilled at working across clinical, technical, and administrative domains
• Detail-oriented and systematic — you catch inconsistencies that others miss
• Clear and structured written communicator who can articulate expert reasoning
• Comfortable evaluating complex governance scenarios across a variety of healthcare settings

Nice to Have

• Prior experience with data annotation, data quality evaluation, or clinical data auditing
• Background in EHR systems, health data interoperability, or regulatory reporting
• Familiarity with AI tools or data evaluation workflows
• Experience in hospital operations, compliance leadership, or clinical informatics

Why Join Us

• Work at the cutting edge of healthcare AI alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Apply your clinical data expertise to problems that matter at a global scale
• Potential for ongoing work and contract extension as new projects launch