Job Description

Health Informatics Analyst (AI Training)

About The Role

We're looking for experienced Health Informatics Analysts to help train and evaluate AI systems on healthcare data, clinical workflows, and health information systems. Your domain expertise will directly shape how AI understands and reasons about one of the most complex and impactful fields in the world.

This is a unique opportunity to apply your healthcare and data skills to cutting-edge AI development — working flexibly and remotely on your own schedule.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Analyze and evaluate AI-generated outputs related to healthcare data, EHR systems, and clinical workflows for accuracy and quality
Review and annotate healthcare datasets, flagging errors, inconsistencies, or clinically inaccurate information
Assess AI responses involving health information systems, data pipelines, and reporting tools
Provide structured, expert feedback to improve how AI models reason about clinical and operational healthcare scenarios
Work independently and asynchronously on task-based assignments

Who You Are

Hands-on experience with healthcare data, electronic health records (EHR), or clinical information systems
Strong analytical skills including data interpretation, trend analysis, and reporting
Comfortable evaluating the accuracy and quality of health informatics content at scale
Ability 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 evaluation workflows
Familiarity with clinical reporting platforms or health IT standards (e.g., HL7, FHIR)
Background in clinical, public health, or health administration settings

Why Join Us

Work on cutting-edge AI projects in partnership with world-leading research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that shapes how AI understands healthcare
Exposure to advanced large language models (LLMs) and how they're trained
Potential for ongoing work and contract extension

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