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About the Role

This role is for meticulous professionals who can label and validate healthcare research data used to train and improve medical AI systems. The work has a direct impact on the reliability, quality, and safety of AI tools supporting healthcare research.

Role Details

Engagement type: hourly contract
Work mode: fully remote
Schedule: flexible, with hours that can be arranged around your availability

Key Responsibilities

Inspect clinical and research datasets and assign accurate, consistent annotations
Apply labels to complex medical records and research data according to structured instructions
Check existing annotations for accuracy and completeness
Spot unclear cases or special scenarios and flag them for review
Preserve strong data quality across all assigned work
Complete tasks independently and asynchronously at a pace that suits you

Profile We’re Looking For

Excellent attention to detail and comfort handling structured, complex information
Exposure to healthcare, clinical research, biology, or another STEM discipline
Ability to follow annotation guidelines carefully and consistently
Dependable, self-driven, and able to work without close supervision
Strong written communication skills
Previous experience with annotation or data labeling is helpful, though not mandatory

Preferred Experience

Background in clinical documentation, medical coding, or biomedical research
Familiarity with electronic health records and medical terminology
Experience in data quality work, research coordination, or healthcare informatics

Why This Opportunity Stands Out

Help advance innovative medical AI research
Enjoy a fully remote setup with flexible scheduling
Work independently with meaningful and intellectually engaging assignments
Partner with researchers and data teams on high-impact initiatives
Opportunity for continued assignments and contract renewal

Healthcare Research Data Annotator