Remote Registered Nurse - AI Data Annotation & Validation

micro1; United States; Remote; USD 83,000 - 96,000; Part time

Job summary

Himalayas is seeking a Registered Nurse contractor in the United States, remotely, to contribute clinical expertise to train AI systems. You will annotate inpatient documentation and assess AI outputs for clinical safety and accuracy, applying bedside judgment and precise documentation standards.

Ideal candidates have recent inpatient bedside RN experience, broad clinical exposure across populations, and proven written and verbal communication skills.

Qualifications

• Recent inpatient bedside RN experience.
• Based in the United States and able to practice as a Registered Nurse in the U.S.
• Broad clinical exposure with comfort reviewing documentation across different inpatient populations.
• Experience in an academic or large health system setting with complex patients, workflows, and documentation practices.
• Previous annotation experience with positive performance reviews.
• Proficiency with written and verbal communication.

Responsibilities

• Annotate and review clinical content and inpatient documentation (nursing notes, progress notes, care plans, orders, lab results, and discharge summaries).
• Evaluate AI-generated outputs for clinical accuracy, safety, and appropriateness across inpatient populations and care scenarios.
• Apply bedside nursing judgment and knowledge of inpatient workflows to validate and enrich datasets.
• Collaborate with project stakeholders via written and verbal communication to clarify requirements and resolve ambiguities.
• Provide high-quality feedback on guidelines and edge cases to improve project workflows and model understanding.

Skills

Inpatient nursing

Clinical documentation review

Attention to detail

Written and verbal communication

Job description

Himalayas is seeking a Registered Nurse contractor in the United States, remotely, to contribute clinical expertise to train AI systems. You will annotate inpatient documentation and assess AI outputs for clinical safety and accuracy, applying bedside judgment and precise documentation standards.

Ideal candidates have recent inpatient bedside RN experience, broad clinical exposure across populations, and proven written and verbal communication skills.