Health Informatics Analyst
- Canada
- Remote
- Posted Sep 8, 2026
- 1 position
- Employment type
- Contract
- Experience level
- Mid-level · 2+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
This job has expired
This position at Alignerr is no longer accepting applications. The original posting remains below for reference.
Expired Sep 17, 2026
Original job posting
Analyze and evaluate AI-generated outputs related to healthcare data, EHR systems, and clinical workflows for accuracy. Provide structured expert feedback to improve AI reasoning and operational decision-making in clinical contexts.
Job details
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. Your domain expertise will directly shape how AI understands, interprets, and communicates complex health information — making a real impact on the future of healthcare AI. At Alignerr, we partner with the world's leading AI research teams and labs to build cutting-edge models. This is your opportunity to bring your healthcare informatics knowledge to one of the most exciting frontiers in technology. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Analyze and evaluate AI-generated outputs related to healthcare data, EHR systems, and clinical workflows for accuracy and quality Review how AI interprets health information systems, data pipelines, and clinical reporting — flagging errors or gaps in reasoning Apply your expertise in healthcare data trends to assess the quality of AI-generated insights and recommendations Provide structured, expert feedback to help AI systems better understand clinical and operational decision-making Work independently and asynchronously on your own schedule Who You Are 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 with precision and clarity Comfortable working across clinical, technical, and operational subject matter Self-motivated and detail-oriented — able to deliver consistent, high-quality feedback Nice to Have Prior experience with data annotation, data quality assessment, or evaluation systems Familiarity with health data standards such as HL7, FHIR, or ICD coding Background in clinical informatics, health IT, or population health analytics 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, wherever you are Freelance perks: autonomy, variety, and collaboration with a global expert community Put your specialized healthcare expertise to work in a high-impact, forward-looking field Potential for ongoing work and contract extension
What you’ll do
Analyze and evaluate AI-generated outputs related to healthcare data, EHR systems, and clinical workflows for accuracy. Provide structured expert feedback to improve AI reasoning and operational decision-making in clinical contexts.
Requirements
Requires hands-on experience with healthcare data, EHR systems, and strong analytical skills for data interpretation. Familiarity with health data standards like HL7, FHIR, or ICD coding is preferred.
Listed skills
- Analytical · Preferred
- assessment · Preferred
- analysis · Preferred
- Collaboration · Preferred
- Health · Preferred
- Detail-oriented · Preferred
- Teams · Preferred
- Data analysis · Preferred
- Decision Making · Preferred
- Reporting · Preferred
- Accuracy · Preferred
- Consistent · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Healthcare Data Analysis
- EHR Systems
- Clinical Reporting
- Data Interpretation
- Trend Analysis
- Data Annotation
- HL7
- FHIR
- ICD Coding
- Clinical Informatics
- Population Health Analytics
- AI Evaluation
Job areas
- Healthcare
- Technology
- Data & Analytics
- Software
- Science & Research
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