Alignerr
Health Informatics Analyst
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Health Informatics Analyst (AI Training)
About The Role
We're partnering with leading AI research labs to build smarter, more accurate AI systems — and we need healthcare informatics professionals to help get there. As a Health Informatics Analyst, you'll apply your clinical data expertise to evaluate, annotate, and improve AI outputs in the healthcare domain, directly influencing how next-generation AI understands medical information.
This is a fully remote, flexible contract role that fits around your schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Analyze and evaluate AI-generated content related to healthcare data, EHR systems, and clinical workflows
- Review and assess the accuracy, quality, and clinical relevance of AI outputs using structured evaluation criteria
- Identify errors, inconsistencies, or gaps in AI-generated health informatics content and provide detailed feedback
- Apply your knowledge of health information systems, data pipelines, and clinical reporting to validate AI reasoning
- Contribute insights that help AI models better understand complex healthcare data environments
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Who You Are
- Experienced working with healthcare data, EHR systems, or clinical reporting platforms
- Strong analytical thinker with a solid grasp of data visualization, reporting, and trend analysis
- Able to communicate complex clinical and technical concepts clearly in writing
- Comfortable working independently and asynchronously on structured tasks
- Detail-oriented with a commitment to accuracy and data quality
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Nice to Have
- Prior experience with data annotation, data labeling, or AI evaluation workflows
- Background collaborating across clinical, IT, and operational teams
- Familiarity with health data standards such as HL7, FHIR, or ICD coding systems
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, anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Gain exposure to advanced large language models (LLMs) and how they're trained
- Meaningful work that shapes how AI performs in high-stakes healthcare contexts
- Potential for ongoing work and contract extension
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