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Mercor · Remote

RN Annotators

Remote Eligible in United States $55 - $65 / hour Open until December 6, 2026
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Apply through Mercor. WorkAppily is not the hiring employer and does not control availability or hiring decisions.

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Role brief

Job description

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)

Practice

Interview practice

Interview Coach
Realtime practice tailored to this job. Voice or video + CV (optional).
Full screen

Mic required. Video is optional.

Prep checklist

  • Match your strongest evidence to this role’s domain.
  • Prepare one impact story, one troubleshooting story, and one collaboration story.
  • Use the interview coach before applying if the role is a strong fit.
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