Healthcare Research Data Annotator

The work

Help improve the quality and safety of medical AI research through careful data annotation. Label clinical information consistently, verify existing work and flag uncertainties using healthcare or scientific domain awareness.

• Review and annotate clinical and research datasets accurately.
• Apply detailed labels to complex medical information according to structured instructions.
• Check existing annotations for completeness and correctness.
• Identify unclear cases or unusual examples and escalate them appropriately.
• Maintain dependable quality across assignments while working independently and asynchronously.

Experience and skills

• Strong attention to detail and comfort with complex structured information.
• Background or familiarity in healthcare, clinical research, biology or a related STEM discipline.
• Ability to apply detailed annotation instructions precisely and consistently.
• Reliable independent working habits and clear writing.
• Prior labeling or annotation experience is helpful but optional.
• Clinical documentation, coding or biomedical research experience is preferred.
• EHR systems or medical terminology familiarity is useful.
• Data quality, research coordination or health informatics experience is an advantage.

Working arrangements

This is an hourly contractor role with a flexible schedule and fully remote work. Tasks can be completed independently and asynchronously. Further assignments or an extended engagement may become available as new projects begin.