Overview
Hospital Health Data Governance Lead Jobs in Canada at Alignerr
Title: Hospital Health Data Governance Lead
Company: Alignerr
Location: Canada
Hospital Health Data Governance Lead (AI Training)
About The Role
What if your expertise in healthcare data governance could directly shape how AI understands and reasons about clinical and operational health data? We're looking for experienced Hospital Health Data Governance Leads to help evaluate, refine, and improve AI systems trained on complex healthcare datasets — ensuring the models that will influence real-world healthcare decisions are accurate, compliant, and trustworthy.
This is a fully remote, flexible contract role built for seasoned health data professionals. You bring the domain expertise — we provide the platform to put it to work at the cutting edge of AI.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated outputs related to hospital data governance, clinical data management, and healthcare compliance for accuracy and real-world applicability
- Apply your knowledge of governance frameworks to assess whether AI recommendations align with established standards and best practices
- Identify gaps, errors, and inconsistencies in how AI systems represent healthcare data workflows, policies, and regulatory requirements
- Provide structured, expert feedback that helps AI models better understand the nuances of cross-functional healthcare data environments
- Review and assess content spanning clinical documentation, data quality controls, privacy protocols, and regulatory compliance scenarios
- Work independently and asynchronously — fully 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 and related regulations
- Familiar with how data flows across clinical, IT, and administrative functions within hospital environments
- Able to evaluate complex healthcare data scenarios with precision and structured thinking
- Clear and concise written communicator who can articulate reasoning behind quality assessments
- Self-directed and dependable when working independently
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Background in EHR systems, health information management, or clinical informatics
- Familiarity with data governance tools, master data management, or metadata frameworks
- Experience working across multidisciplinary healthcare teams — clinical, technical, and administrative
Why Join Us
- Work at the intersection of healthcare expertise and cutting-edge AI development
- Contribute to AI systems that will influence how health data is understood and used at scale
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Exposure to large-scale health data systems and frontier model training processes
- Potential for ongoing work and contract extension as new projects launch
