AI training and LLM evaluation jobs
Registered Nurse
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US registered nurses will review inpatient records such as nursing notes, care plans, orders, labs, progress notes, and discharge summaries, then evaluate model outputs for clinical accuracy and safety. The project needs current bedside judgment across varied inpatient populations rather than a narrow specialty. Applicants must be US-based, able to practise as an RN, and have recent inpatient experience; work in a large teaching or health-system setting is valued. The source lists remote contracting at $60–$70 USD per hour.
Responsibilities
- 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.
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, 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.
Eligibility
United States
Pay
$60-$70 USD per hour