Nursing Informatics AI Trainer (Remote, Flexible Hours)

Alignerr Corp.

Montreal

Remote

CAD 77.000 - 135.000

Teilzeit

vor 35 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Alignerr is seeking a Nursing Informatics Specialist to train and evaluate AI systems for healthcare. You will apply real-world nursing knowledge to ensure AI understands clinical workflows and EHR documentation, improving how health information is represented.

This is a remote, hourly contract role with flexible hours. You will review AI outputs, provide structured feedback, and annotate data to guide model improvements.

Qualifikationen

  • RN with hands-on healthcare experience.
  • Familiar with Epic, Cerner or similar EHR systems.
  • Experience in clinical informatics or health IT.
  • Strong analytical and feedback skills.
  • Detail-oriented and reliable in a remote, self-directed environment.
  • No AI experience required; clinical expertise matters most.

Aufgaben

  • Review AI-generated content related to clinical workflows, EHR documentation, and nursing informatics for accuracy.
  • Translate frontline nursing knowledge into structured feedback to improve AI models.
  • Identify gaps or errors in AI outputs and suggest improvements.
  • Assess the quality of AI responses related to health information systems and patient data management.
  • Provide detailed, structured annotations and evaluations using guidelines.
  • Work independently and asynchronously on your own schedule.

Kenntnisse

RN
Clinical experience
EHR familiarity
Clinical informatics
Analytical skills
Detail oriented
Remote work

Ausbildung

RN‑BC or equivalent nursing certification

Jobbeschreibung

Alignerr is seeking a Nursing Informatics Specialist to train and evaluate AI systems for healthcare. You will apply real-world nursing knowledge to ensure AI understands clinical workflows and EHR documentation, improving how health information is represented.

This is a remote, hourly contract role with flexible hours. You will review AI outputs, provide structured feedback, and annotate data to guide model improvements.

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