Hospital Health Data Governance Lead
Alignerr • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$60/task
Posted
0d ago
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About this Role
What You'll Do
- Apply your healthcare data governance expertise to evaluate and improve AI-generated content related to clinical data management, compliance, and data quality
- Review AI outputs for accuracy, clinical relevance, and alignment with real-world governance frameworks such as HIPAA and other regulatory standards
- Define and assess governance standards covering data accuracy, consistency, security, and appropriate use across clinical and operational contexts
- Provide structured, expert feedback on how well AI systems understand cross-functional data workflows involving clinical, IT, compliance, and administrative stakeholders
- Evaluate AI reasoning around healthcare privacy, data lifecycle management, and regulatory compliance scenarios
- Work independently and asynchronously — fully on your own schedule
About the Role
What if your expertise in healthcare data governance could directly influence how AI understands, interprets, and reasons about clinical information for millions of patients? We're looking for experienced health data governance professionals to help train and evaluate cutting-edge AI models — ensuring they understand the standards, frameworks, and nuances that make hospital data trustworthy, compliant, and clinically meaningful. This is a fully remote, flexible contract role. No AI background needed — just deep expertise in healthcare data governance and a sharp eye for quality.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Who You Are
- Experienced in healthcare data governance, clinical data management, or health information operations
- Strong working knowledge of healthcare privacy and regulatory frameworks — particularly HIPAA and related compliance standards
- Comfortable assessing data governance concepts across clinical, technical, and administrative domains
- Naturally detail-oriented with a methodical, standards-driven approach to quality
- Able to articulate complex governance concepts clearly in written feedback
- No prior AI or tech industry experience required
Nice to Have
- Prior experience with data annotation, data quality evaluation, or information management systems
- Background in EHR platforms, clinical informatics, or health IT
- Familiarity with data governance frameworks such as DAMA-DMBOK or similar
- Experience working across multidisciplinary teams in hospital or health system environments
- Exposure to analytics, reporting, or operational data use cases in healthcare settings
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-driven work
- Contribute directly to how AI understands one of the most complex and consequential domains in the world — healthcare
- Potential for ongoing work and contract extension as new projects launch
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Healthcare
- Valid professional license (MD, DO, RN, etc.)
- Current knowledge of medical standards and practices
Compensation Analysis
What if your expertise in healthcare data governance could directly influence how AI understands, interprets, and reasons about clinical information for millions of patients? We're looking for experienced health data governance professionals to help train and evaluate cutting-edge AI models — ensuring they understand the standards, frameworks, and
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.