Health Informatics Analyst

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