Health Informatics Analyst
Alignerr
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
