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Health Informatics Analyst

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Alignerr Corp.
Full Time position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 39000 - 62000 USD Yearly USD 39000.00 62000.00 YEAR
Job Description & How to Apply Below
Health Informatics Analyst (AI Training) About

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 influence how AI understands, interprets, and communicates complex health information — making a real impact on the future of healthcare AI.

At Alignerr, we partner with the world's leading AI research teams and labs to build cutting-edge AI models. This is a unique opportunity to apply your informatics knowledge at 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, EHR data interpretations, and clinical workflow recommendations for accuracy and quality
  • Identify errors, gaps, or unsafe outputs in AI responses related to health informatics topics
  • Provide structured, expert feedback on how AI handles healthcare data, system performance questions, and clinical decision support scenarios
  • Review and assess AI outputs involving health information systems, data pipelines, and reporting tools
  • 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 visualization, trend analysis, and reporting
  • Able to evaluate the accuracy and clinical relevance of AI-generated health content
  • Comfortable collaborating across clinical, technical, and operational subject areas
  • Detail-oriented and consistent in applying evaluation guidelines
Nice to Have
  • Experience with data annotation, data quality assessment, or AI evaluation workflows
  • Background in health IT, clinical informatics, or population health analytics
  • Familiarity with standards such as HL7, FHIR, or ICD coding systems
Why Join Us
  • Work on cutting-edge AI projects with 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 that shapes how AI serves the healthcare industry
  • Potential for ongoing work and contract extension
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