Health Informatics Analyst

We're looking for experienced Health Informatics Analysts to help evaluate and improve AI systems designed to understand healthcare data, clinical workflows, and electronic health records (EHR). Your domain expertise will directly shape how AI reasons about one of the most complex and high-stakes fields in the world.

At Alignerr, we partner with the world's leading AI research labs to build smarter, more accurate AI models — and healthcare knowledge is a critical frontier.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Review and evaluate AI-generated healthcare content, data interpretations, and clinical workflow recommendations for accuracy and quality
• Apply your EHR and health informatics knowledge to assess how well AI understands clinical and operational data scenarios
• Identify errors, gaps, or unsafe reasoning in AI outputs related to healthcare systems and data pipelines
• Provide structured, expert feedback using clear rating rubrics and written annotations
• Work independently and asynchronously on your own schedule

• Hands‑on experience with healthcare data, EHR systems, or clinical reporting platforms
• Strong analytical skills including data interpretation, trend analysis, and reporting
• Ability to evaluate technical and clinical content with precision and consistency
• Comfortable working independently on task‑based remote assignments
• Clear written communication skills

• Experience with data annotation, data quality assurance, or evaluation workflows
• Familiarity with healthcare interoperability standards (e.g., HL7, FHIR)
• Background in clinical operations, health IT, or medical informatics
• Experience collaborating with clinical, technical, or administrative stakeholders

• Work on cutting‑edge AI projects with top research labs and shape how AI understands healthcare
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute meaningful expertise to AI that could impact real-world clinical outcomes
• Potential for ongoing work and contract extension