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Job Description & How to Apply Below
The Role We're looking for experienced Health Informatics Analysts to help evaluate and improve AI systems being trained on healthcare and clinical data. Your domain expertise will directly shape how AI understands, interprets, and communicates complex health information — making a meaningful impact on the future of healthcare AI.
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. This is your opportunity to bring your healthcare data knowledge to the frontier of AI development.
Organization:
Alignerr
Type:
Hourly Contract
Location:
Remote
Commitment: 10–40 hours/week
What You'll Do Analyze and evaluate AI-generated healthcare content, clinical workflows, and EHR-related outputs for accuracy and real-world applicability
Review and assess how AI interprets health data, identifying errors, gaps, or misleading outputs
Provide structured expert feedback on clinical data pipelines, reporting logic, and health information systems
Flag issues related to data quality, terminology accuracy, and clinical relevance
Work independently and asynchronously on your own schedule
Who You Are Hands-on experience working with healthcare data, EHR systems, or clinical reporting platforms
Strong analytical skills including data interpretation, trend analysis, and reporting
Comfortable evaluating technical healthcare content at scale
Able to communicate complex findings clearly in writing
Collaborative mindset with experience working across clinical, technical, or operational teams
Nice to Have Prior experience with data annotation, data quality review, or AI evaluation workflows
Familiarity with healthcare interoperability standards (e.g., HL7, FHIR)
Background in clinical informatics, health IT, or population health analytics
Why Join Us Work on cutting-edge AI projects alongside top research labs and AI teams
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work at the intersection of healthcare and AI
Potential for ongoing work and contract extension
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