Health Informatics Analyst

Health Informatics Analyst (AI Training)

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