Clinical Systems Analyst

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced Clinical Systems Analysts to bring their real-world healthcare IT knowledge to AI — helping evaluate, validate, and improve how AI understands clinical systems, workflows, and technical problem-solving.

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced Clinical Systems Analysts to bring their real-world healthcare IT knowledge to AI — helping evaluate, validate, and improve how AI understands clinical systems, workflows, and technical problem-solving.

This is a unique opportunity to apply your expertise in EHRs, hospital infrastructure, and clinical operations to a domain that's actively reshaping the future of healthcare and artificial intelligence.

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

• Evaluate AI-generated responses related to clinical systems, healthcare IT workflows, and technical troubleshooting for accuracy and quality
• Apply your domain expertise to identify errors, gaps, or unrealistic recommendations in AI outputs
• Provide structured feedback on how well AI handles scenarios involving EHR configuration, system optimization, and clinical-technical communication
• Review and rate AI-generated documentation, support guides, and clinical workflow translations
• Work independently and asynchronously on your own schedule

• Experienced with healthcare IT systems — including EHRs, clinical applications, or hospital infrastructure
• Strong technical troubleshooting and system optimization background
• Comfortable working at the intersection of clinical workflows and IT solutions
• Detail-oriented with the ability to evaluate complex technical content critically
• Clear written communicator who can articulate quality issues with precision

• Prior experience with data annotation, data quality, or AI evaluation workflows
• Familiarity with clinical interoperability standards (HL7, FHIR, etc.)
• Background in training, documentation, or system implementation projects

• Work on cutting-edge AI projects alongside top research labs and teams
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to AI that could meaningfully improve healthcare technology
• Potential for ongoing work and contract extension