Health Informatics Analyst
About this role
About the Role We're looking for Health Informatics Analysts to apply their clinical data expertise to cutting-edge AI projects. At Alignerr, we partner with the world's leading AI research teams to build smarter, more accurate AI models — and your deep knowledge of healthcare data, EHR systems, and clinical workflows is exactly what we need. This is a unique opportunity to sit at the intersection of healthcare and artificial intelligence, contributing domain expertise that directly shapes how AI understands and reasons about health information. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Analyze and evaluate AI-generated healthcare content, clinical data outputs, and EHR-related information for accuracy and quality - Apply your expertise in health information systems to identify errors, gaps, and areas for improvement in AI responses - Review and annotate healthcare datasets, clinical documentation, and medical workflows to support AI training - Provide structured, expert feedback on the accuracy, completeness, and clinical relevance of AI outputs - Collaborate asynchronously with a global team of domain experts and AI researchers - Contribute to improving how AI models understand clinical terminology, patient data, and healthcare processes Who You Are - Experienced with healthcare data, EHR systems, or clinical reporting platforms - Strong analytical skills with a background in data interpretation, reporting, or trend analysis - Familiar with clinical and administrative workflows in healthcare settings - Able to communicate findings clearly and concisely in written form - Detail-oriented, reliable, and comfortable working independently - Able to evaluate complex information systematically and at scale Nice to Have - Experience with data annotation, data quality review, or evaluation frameworks - Background in health informatics, clinical informatics, or biomedical data science - Familiarity with interoperability standards such as HL7, FHIR, or ICD coding systems - Prior exposure to AI, machine learning, or LLM evaluation workflows Why Join Us - Work on impactful AI projects with top-tier research labs and teams - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Gain firsthand exposure to advanced large language models and how they're trained - Meaningful work that improves how AI handles healthcare information - Potential for ongoing work and contract extension
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