Health Informatics Analyst

We're looking for experienced Health Informatics Analysts to help evaluate and improve AI systems being built for the healthcare domain. At Alignerr, we partner with the world's leading AI research teams and labs — and your clinical data expertise will directly shape how AI understands and reasons about healthcare information.

This is a unique opportunity to apply your EHR and health data knowledge in an exciting new context: making AI smarter, safer, and more useful for healthcare professionals everywhere.

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

• Analyze and evaluate AI-generated healthcare content, clinical workflows, and EHR-related outputs for accuracy and real-world applicability
• Identify errors, inconsistencies, or gaps in how AI systems interpret health data, clinical documentation, and operational processes
• Provide structured, expert feedback on AI outputs related to healthcare analytics, reporting, and decision support
• Review data pipelines, dashboards, and system evaluation scenarios through a clinical informatics lens
• Work independently and asynchronously on task-based assignments that fit your schedule

• Hands-on experience working with healthcare data, EHR systems, or clinical reporting platforms
• Strong analytical skills including data interpretation, trend analysis, and reporting
• Ability to evaluate complex health information scenarios clearly and methodically
• Comfortable collaborating across clinical, technical, and operational contexts
• Detail-oriented, reliable, and self-motivated

• Experience with data annotation, data quality assessment, or evaluation frameworks
• Familiarity with health data standards such as HL7, FHIR, or ICD coding
• Background in clinical operations, health IT, or population health analytics

• Work on cutting-edge AI projects alongside top research labs and AI teams
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and meaningful impact
• Contribute to AI development that could transform how healthcare data is understood and used
• Potential for ongoing work and contract extension