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Mercornew this week

RN Annotators

Pay
$55–$65/hr
Type
Hourly
Spots left
5
Location
Remote
Posted
September 19, 2026

Good fit for: doctors, physicians, nurses, and other medical professionals (MD, DO, RN).

Apply via referral →

Listing verified on the platform’s official board. Last checked September 25, 2026.

We're hiring inpatient Registered Nurses (RNs) to support clinical AI product work — helping us develop and evaluate new products on an ongoing basis, which is why continuity and a reliable weekly commitment matter.

What you'll do

  • Support annotation, clinical review, model evaluation, and user-feedback investigation
  • Contribute to taxonomy/guideline development and other clinical product work as needs evolve
  • Work directly with engineers, PMs, clinical scientists, and other clinicians

What we're looking for

  • US based / able to practice in the US
  • Recent inpatient bedside RN experience
  • Broad clinical exposure: comfortable reviewing documentation across different inpatient populations, not overly specialized
  • Self-starter / high ownership: can take an ambiguous clinical question, investigate it, and come back with a thoughtful recommendation
  • Proactive and engaged: actively surfaces issues, patterns, and opportunities for improvement; comfortable speaking up when something doesn't seem right
  • Rigorous and detail-oriented: able to consistently apply clinical logic and explain the rationale behind decisions
  • Curious and adaptable: interested in learning how the product/model works and comfortable with processes that change quickly
  • Strong communication and collaboration
  • Able to reliably and consistently dedicate a minimum of 10 hours per week

Preferred

  • Previous annotation experience with positive performance reviews
  • Academic / large health system experience (e.g., a large teaching hospital, which exposes nurses to more complex patients, workflows, and documentation practices)
Applying via Mercor: Mercor pays twice a week once you are hired and billing work. Sign-up is free; expect a resume upload and an AI interview before matching.

Apply via referral →

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