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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
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
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
Work arrangement
Yes
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