About the Role
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 Health Informatics Analysts to bring their clinical data expertise to the frontier of AI development.
This is a unique opportunity to apply your knowledge of EHR systems, healthcare workflows, and health data analytics to help AI understand and reason about one of the most complex and high-stakes domains in the world — healthcare.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate and provide expert feedback on AI-generated healthcare content, data interpretations, and clinical reasoning
- Analyze and assess how accurately AI handles EHR data, clinical workflows, and health information systems
- Identify errors, gaps, or unsafe outputs in AI responses related to health informatics topics
- Apply your knowledge of healthcare data standards, reporting, and system design to improve AI quality
- Provide structured, detailed feedback using clear evaluation guidelines
- Work independently and asynchronously on your own schedule
Who You Are
- Hands-on experience with healthcare data, EHR systems, or clinical reporting platforms
- Strong analytical skills including data visualization, reporting, and trend analysis
- Ability to evaluate complex health information scenarios with clarity and precision
- Comfortable working with clinical, technical, and operational concepts
- Detail-oriented with strong written communication skills
Nice to Have
- Experience with data annotation, data quality assessment, or AI evaluation workflows
- Familiarity with health data standards such as HL7, FHIR, or ICD coding
- Background in clinical informatics, health IT, or health data engineering
- Prior work with dashboards, business intelligence tools, or population health platforms
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 improves how AI handles healthcare information
- Exposure to advanced large language models (LLMs) and how they're trained
- Potential for ongoing work and contract extension