Registered Nurse
micro1 · 100% remote · Contract · Posted
- Pay
- $60–70/hr
- Location
- United States
- Languages
- English
- Hours
- Flexible
- Openings
- 100
- Level
- Expert
Summary
Annotate and review inpatient clinical documentation and evaluate AI-generated outputs for clinical accuracy and safety to help train AI systems. Requires a U.S. Registered Nurse with recent inpatient bedside experience.
What you'll do
- Annotate and review clinical content and inpatient documentation
- Evaluate AI-generated outputs for clinical accuracy and safety
- Apply bedside nursing judgment to validate and enrich datasets
- Collaborate with stakeholders to clarify requirements
- Provide feedback on guidelines and edge cases
Requirements
- Based in the United States and able to practice as a Registered Nurse in the U.S.
- Recent inpatient bedside RN experience
- Broad clinical exposure across inpatient populations
- Experience in an academic or large health system setting
- Proficiency with written and verbal communication
Skills
- Inpatient Clinical Expertise
- Clinical Documentation Review
- Annotation of Medical Records
- Nursing Judgment
- Evaluation of AI-Generated Clinical Outputs
- Attention to Detail
- Written and Verbal Communication
- Feedback Provision
- Knowledge of Inpatient Workflows
- Collaboration with Stakeholders
Full description
Role Title: Registered Nurse
Role Type: Contractor
Location: United States, Remote
Compensation: $60-$70 USD per hour
micro1 is engaging Registered Nurses to contribute their expertise to a dynamic project for a valued customer. In this role, you'll apply your inpatient clinical expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required. Your domain knowledge is what matters.
Scope of Work
- Annotate and review clinical content and inpatient documentation (nursing notes, progress notes, care plans, orders, lab results, and discharge summaries), ensuring accuracy, clinical soundness, and completeness.
- Evaluate AI-generated outputs for clinical accuracy, safety, and appropriateness across a range of inpatient populations and care scenarios.
- Apply bedside nursing judgment and knowledge of inpatient workflows, standards of care, and documentation practices to validate and enrich datasets.
- Collaborate with project stakeholders via written and verbal communication to clarify requirements and resolve ambiguities in clinical documentation.
- Provide high-quality feedback on guidelines and edge cases to improve project workflows and model understanding.
Preferred Qualifications
- Based in the United States and able to practice as a Registered Nurse in the U.S.
- Recent inpatient bedside RN experience.
- Broad clinical exposure, with comfort reviewing documentation across different inpatient populations rather than a narrow specialty.
- Experience in an academic or large health system setting (e.g., a large teaching hospital), with exposure to complex patients, workflows, and documentation practices.
- Previous annotation experience with positive performance reviews.
- Proficiency with both written and verbal communication, with a strong attention to clarity and detail.
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