Clinical Nursing AI Training Specialist

Rise Data Labs

Frankreich

Vor Ort

EUR 40.000 - 62.000

Vollzeit

vor 18 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Flexible working environment
Professional development in AI

Zusammenfassung

Rise Data Labs is seeking a Healthcare/Nursing AI Training Specialist to help train and enhance AI models for clinical and nursing scenarios. You will author realistic tasks and rubrics based on real patient care experiences and evaluate AI-generated deliverables against detailed criteria.

The role emphasizes clinical accuracy, proper terminology, and collaboration with experts during calibration sessions to ensure consistent benchmarking. Strong clinical background is essential.

Qualifikationen

  • Registered Nurse (RN), Nurse Practitioner, or similar clinical credential.
  • Prior hands-on experience in direct patient care, clinical documentation, or care coordination.
  • Prior experience with AI model training, evaluation, or benchmark development is a plus.

Aufgaben

  • Create realistic clinical scenarios based on your professional experience, e.g., patient assessment documentation, care planning, vital sign tracking, lab trend analysis, medication management.
  • Supply reference materials such as redacted charts, care plans, and clinical notes.
  • Write rubrics detailing what a correct, clinically sound deliverable requires and grading AI outputs against them.
  • Grade AI-generated deliverables against your rubric.
  • Participate in calibration sessions to ensure consistent scoring across benchmarks.

Kenntnisse

RN/NP credential
Direct patient care
AI model training
Clinical documentation review

Jobbeschreibung

Rise Data Labs is seeking a Healthcare/Nursing AI Training Specialist to help train and enhance AI models for clinical and nursing scenarios. You will author realistic tasks and rubrics based on real patient care experiences and evaluate AI-generated deliverables against detailed criteria.

The role emphasizes clinical accuracy, proper terminology, and collaboration with experts during calibration sessions to ensure consistent benchmarking. Strong clinical background is essential.

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