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Registered Nurse - AI ChatBot Reviewer (US, Remote)

Aptura AI · USA

No salary listed. Estimated from 368 salary-disclosed Other roles on this board: $157K–$254K (interquartile range; estimate, not the employer's figure).

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About the role

We are seeking experienced US registered nurses to review and assess AI-generated responses from a health coaching agent, with a focus on safety, regulatory compliance, and clinical content accuracy.

You will work asynchronously on a dedicated review platform, performing short, structured evaluations to help train and refine AI models for patient-facing health guidance.

This is a remote, flexible and short-term project.


Key Responsibilities:
  • Structured Grading: Score AI agent responses against a pre-defined rubric, applying the highest-priority criteria consistently across a large volume of items.

  • Safety Review: Identify responses that could cause patient harm missed red flags, unsafe advice, failure to escalate or signpost to care.

  • Clinical Accuracy: Assess factual correctness, completeness and guideline alignment of clinical content.

  • Written Feedback: Provide brief, specific rationale for each failed response and general guidance on how it could be improved.


Qualifications
  • Licensure: Active RN license for US

  • Experience: Minimum 2 years of clinical nursing practice.

  • Knowledge: Strong grounding in clinical guidelines, patient safety and scope-of-practice boundaries.

  • Attention to detail: Proven accuracy and consistency in clinical documentation or review work.

  • Technical proficiency: Comfortable using structured review tools and digital platforms.

  • Language: Native or near-native written English.


Legal Status
  • You will have the right to work in your country of residence.

  • You will work as an independent contractor.

Why Join Us?
  • Flexible Work Arrangements: Part-time, remote and fully asynchronous.

  • Competitive Compensation: Hourly rate

  • Professional Development: Hands-on experience in AI evaluation and model fine-tuning, shaping how AI is deployed in patient care.

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