Registered Nurse | Remote - Contract

Xperteez Technology•,
•$60 - $70•Remote

About The Position

We are 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.

Requirements

  • 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

Nice To Haves

  • 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.

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.
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