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AI Trainer - Register Nurse

  • Source: LinkedIn
  • Insight Talent
  • On-site
  • New York City
  • Mid level

Job Description

Role Overview

We are seeking Registered Nurse Experts to generate, evaluate, and refine tasks related to nursing

practice, clinical workflows, and patient care management for frontier AI initiatives. In this role, experts will

build technically accurate, practical tasks that test AI model capabilities in the nursing process, clinical

assessment, patient monitoring, and care coordination.

Requirements

● Professional Experience: ~3–8 years of direct bedside/clinical nursing experience. Must have

actively practiced within the last 3 years to ensure currency with clinical standards.

● Credentials: Active Registered Nurse (RN) licensure in the practicing jurisdiction. Bachelor of

Science in Nursing (BSN) is preferred.

● Core Competencies: Practical mastery of the nursing process (Assessment, Diagnosis,

Planning, Implementation, Evaluation), patient triage, clinical deterioration identification, care

coordination, and interprofessional communication.

● Deliverable History: Proven experience producing clinical deliverables such as nursing care

plans, SOAP notes, discharge instructions, SBAR handoff communications, and clinical

assessment summaries.

● Exceptional Analytical Thinking: Ability to interpret vital signs, lab values, and clinical symptoms

to prioritize patient interventions and evaluate clinical risk.

● Attention to Detail: Strong ability to review clinical scenarios and patient charts to ensure

practical realism, safety, and strict adherence to evidence-based nursing standards.

● Communication: Excellent written communication skills for writing realistic clinical vignettes,

nursing prompts, and structured evaluation rubrics.

● Independence: Self-motivated and able to work independently, incorporate calibration

feedback, and iterate under senior review.

Responsibilities

In this role, you will be part of a specialized functional pod responsible for creating high-quality training

and evaluation data for AI models. Your day-to-day responsibilities will include:

● Producing expert-level tasks and gold-standard solutions in nursing care, clinical assessment,

and care coordination that meet the pod’s quality bar.

● Authoring realistic clinical scenarios involving nursing assessments, triage decisions, care

planning, patient education, and interdisciplinary handoffs.

● Applying rubric standards and grading frameworks set by the Functional SME (Expert) Lead.

● Working under senior review to incorporate calibration feedback, refine outputs, and iterate on

task designs.

● Verifying that all created clinical scenarios, patient charts, and nursing interventions are

accurate, practical, and compliant with current clinical guidelines.

● Ensuring consistent alignment with project guidelines, quality benchmarks, and milestone

deadlines.

Education & Experience

● Bachelor’s degree or equivalent practical experience in any field.

● Experience in AI evaluation, data annotation, content review, quality assurance, or a related

analytical role is preferred but not required.

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