Health Informatics Analyst
Alignerr · Cambridge, England
CONTRACT
Posted Sep 7, 2026
Job Description
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. At Alignerr, we partner with the world's leading AI research teams to build smarter, more accurate AI — and your domain expertise is exactly what's needed to get it right.
This is a unique opportunity to apply your EHR knowledge, clinical data skills, and healthcare systems experience in a cutting-edge AI context — all from the comfort of your own home, on a schedule that works for you.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated healthcare content and responses for clinical accuracy, data integrity, and real-world applicability
- Analyze and interpret healthcare and EHR data scenarios to identify errors, gaps, or misleading outputs
- Review AI reasoning across clinical workflows, reporting pipelines, and health information system contexts
- Provide structured, expert feedback using clear rating rubrics and written justifications
- Flag issues related to data quality, clinical logic, or healthcare compliance considerations
- Work independently and asynchronously on task-based assignments
Who You Are
- Hands-on experience with EHR systems, healthcare data, or clinical reporting platforms
- Strong analytical skills including data interpretation, trend analysis, and system evaluation
- Ability to assess healthcare information for accuracy, completeness, and clinical relevance
- Clear written communication — able to explain your feedback and reasoning concisely
- Self-motivated, detail-oriented, and comfortable working independently
- No prior AI experience required — your healthcare expertise is what matters
Nice to Have
- Experience with health information systems, data pipelines, or clinical decision support tools
- Background in data annotation, data quality assurance, or evaluation workflows
- Familiarity with healthcare interoperability standards (e.g., HL7, FHIR)
- Experience collaborating across clinical, technical, and operational teams
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and AI teams
- Fully remote and flexible — work on your own schedule, as much or as little as you want
- Freelance perks: autonomy, variety, and global collaboration
- Directly contribute to making AI safer and more accurate in high-stakes healthcare contexts
- Potential for ongoing work and contract extension
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. At Alignerr, we partner with the world's leading AI research teams to build smarter, more accurate AI — and your domain expertise is exactly what's needed to get it right.
This is a unique opportunity to apply your EHR knowledge, clinical data skills, and healthcare systems experience in a cutting-edge AI context — all from the comfort of your own home, on a schedule that works for you.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated healthcare content and responses for clinical accuracy, data integrity, and real-world applicability
- Analyze and interpret healthcare and EHR data scenarios to identify errors, gaps, or misleading outputs
- Review AI reasoning across clinical workflows, reporting pipelines, and health information system contexts
- Provide structured, expert feedback using clear rating rubrics and written justifications
- Flag issues related to data quality, clinical logic, or healthcare compliance considerations
- Work independently and asynchronously on task-based assignments
Who You Are
- Hands-on experience with EHR systems, healthcare data, or clinical reporting platforms
- Strong analytical skills including data interpretation, trend analysis, and system evaluation
- Ability to assess healthcare information for accuracy, completeness, and clinical relevance
- Clear written communication — able to explain your feedback and reasoning concisely
- Self-motivated, detail-oriented, and comfortable working independently
- No prior AI experience required — your healthcare expertise is what matters
Nice to Have
- Experience with health information systems, data pipelines, or clinical decision support tools
- Background in data annotation, data quality assurance, or evaluation workflows
- Familiarity with healthcare interoperability standards (e.g., HL7, FHIR)
- Experience collaborating across clinical, technical, and operational teams
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and AI teams
- Fully remote and flexible — work on your own schedule, as much or as little as you want
- Freelance perks: autonomy, variety, and global collaboration
- Directly contribute to making AI safer and more accurate in high-stakes healthcare contexts
- Potential for ongoing work and contract extension
Additional Details
- City
- Cambridge
- State
- England
- Country
- GB
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