Health Informatics Analyst
About this role
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
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