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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