Remote Health Data Governance Lead for AI Training

Alignerr Corp.; Wellington; Remote; NZD 96,000 - 172,000; Part time

Job summary

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how healthcare data is governed for AI workflows. This remote, hourly contract role offers flexibility to work across clinical and operational data, ensuring accuracy, privacy, and regulatory compliance in AI training contexts.

You will define standards, review data governance frameworks, and identify risks while collaborating with interdisciplinary teams.

Qualifications

• Experience in healthcare data governance or health information operations.
• Strong knowledge of HIPAA and related privacy standards.
• Ability to assess data quality across clinical, IT, and admin contexts.
• Proficient written communicator documenting findings and recommendations.
• Comfortable working asynchronously in a remote setup.

Responsibilities

• Define governance standards for hospital health records—assessing accuracy, consistency, completeness, and security.
• Review and provide structured feedback on healthcare data workflows, policies, and governance frameworks used in AI training contexts.
• Identify gaps, inconsistencies, or compliance risks in health data structures and documentation.
• Apply knowledge of clinical, regulatory, and operational healthcare environments to assess data readiness for analytics and AI use.
• Collaborate asynchronously with cross-functional teams spanning clinical, technical, and compliance domains.
• Complete task-based assignments independently on your own schedule.

Skills

Healthcare data governance

Data privacy HIPAA

Data quality assessment

Written communication

Remote work independence

Tools

HL7/FHIR

Job description

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how healthcare data is governed for AI workflows. This remote, hourly contract role offers flexibility to work across clinical and operational data, ensuring accuracy, privacy, and regulatory compliance in AI training contexts.

You will define standards, review data governance frameworks, and identify risks while collaborating with interdisciplinary teams.