About this role · Stem
About the Role We're partnering with the world's leading AI research teams to build smarter, more accurate AI systems — and we need healthcare data experts to help us get there. As a Health Informatics Analyst, you'll apply your real-world knowledge of EHR systems, clinical workflows, and health data to evaluate and improve AI outputs in the healthcare domain. This is a unique opportunity to sit at the intersection of healthcare and cutting-edge AI — contributing your domain expertise to technology that will shape how the industry uses data-driven decision-making. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Analyze and evaluate AI-generated healthcare content, data outputs, and clinical recommendations for accuracy and quality - Apply your knowledge of EHR systems, clinical reporting, and health data standards to identify errors, inconsistencies, and gaps - Review and assess data pipelines, reporting tools, and AI-generated insights in healthcare contexts - Provide structured, expert feedback to help AI systems better understand clinical and operational workflows - Work independently and asynchronously on your own schedule Who You Are - Experienced with healthcare data, EHR systems (e.g., Epic, Cerner, eClinicalWorks), or clinical reporting platforms - Strong analytical background with skills in data visualization, reporting, and trend analysis - Comfortable evaluating complex health information for accuracy and clinical relevance - Able to communicate findings clearly in structured written formats - Detail-oriented and self-motivated with the ability to work independently Nice to Have - Experience with data annotation, data quality assurance, or AI evaluation workflows - Background in clinical informatics, health IT, or population health - Familiarity with healthcare data standards such as HL7, FHIR, or ICD coding - 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, anywhere - Contribute domain expertise that directly shapes how AI handles healthcare information - Freelance perks: autonomy, variety, and global collaboration - Exposure to advanced large language models (LLMs) and how they're trained - Potential for ongoing work and contract extension