Remote Nursing Informatics Specialist for AI Training

Alignerr Corp.

Greater London

Remote

GBP 34,000 - 83,000

Part time

14 hours ago
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Job summary

Alignerr Corp. is seeking a Nursing Informatics Specialist (AI Training) to apply frontline nursing knowledge to AI training projects. You will help ensure AI systems understand nursing workflows, documentation, and health IT, working remotely on a flexible hourly contract.

Responsibilities include reviewing AI content, evaluating EHR-related outputs, and providing structured feedback to improve model accuracy. Prior experience is not required in AI, but clinical expertise is essential.

Qualifications

  • Registered nurse with hands-on clinical experience.
  • Familiar with clinical informatics, EHR systems, or health IT workflows.
  • Ability to identify inaccuracies or unsafe recommendations in AI outputs.
  • Strong written communicator able to provide clear, structured feedback.
  • Detail-oriented and able to work independently on task-based assignments.

Responsibilities

  • Review AI-generated clinical content for accuracy, safety, and alignment with nursing workflows.
  • Apply knowledge of EHR systems to assess AI understanding of documentation and informatics processes.
  • Identify gaps, errors, or unrealistic outputs in AI responses related to nursing practice.
  • Translate clinical expertise into structured feedback to improve AI model quality.
  • Annotate, rate, and refine AI outputs using evaluation guidelines.
  • Work independently and asynchronously on a flexible schedule.

Skills

RN (Registered Nurse)
Informatics familiarity
Critical evaluation
Technical writing feedback
Independent/asynchronous work

Education

RN license

Tools

Epic
Cerner

Job description

Alignerr Corp. is seeking a Nursing Informatics Specialist (AI Training) to apply frontline nursing knowledge to AI training projects. You will help ensure AI systems understand nursing workflows, documentation, and health IT, working remotely on a flexible hourly contract.

Responsibilities include reviewing AI content, evaluating EHR-related outputs, and providing structured feedback to improve model accuracy. Prior experience is not required in AI, but clinical expertise is essential.

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