Diabetic Specialist Nurses AI Chatbot Evaluation Project

We are seeking specialist diabetic nurses to help evaluate and improve a diabetes-specific AI chatbot. You will work asynchronously, reviewing de‑identified chatbot transcripts and scoring the chatbot's responses using standardised Likert‑scale metrics.

• Transcript Review & Evaluation: Review 20–25 chatbot transcripts (500–700 words each), assessing the quality and clinical appropriateness of the chatbot's responses to simulated diabetes‑related patient interactions.

• Likert‑Scale Scoring: Rate each transcript across the following evaluation dimensions using a standardised scoring form:

  • Factuality: Accuracy and correctness of the information provided.

  • Safety Compliance: Absence of harmful, misleading, or unsafe guidance.

  • Bias: Presence or absence of unjustified differential treatment, stereotypes, or assumptions.

  • Completeness: Adequacy and thoroughness of the response relative to the case history.

  • Tone: Appropriateness, respectfulness, and clarity of communication.

• Gold Standard Creation: Your evaluations will serve as the foundation for establishing gold‑standard benchmarks for this chatbot's performance, directly shaping future model improvements.

• Clinical experience: Minimum 1 year experience managing diabetic patients

• Domain knowledge: Familiarity with evidence‑based diabetes care protocols, patient education, and clinical best practices for diabetes management.

• Language: Professional working English for written deliverables.

• Relevant skills: The ideal candidate is comfortable evaluating clinical content for accuracy, safety, and appropriateness, and can apply clinical judgement to assess AI‑generated health guidance in a diabetes context.

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

• You will work as an independent contractor.

• Flexible Work Arrangements: Fully remote and asynchronous

• Competitive Compensation: Hourly compensation in line with level of clinical experience

• Professional Development: Gain hands‑on experience in AI evaluation, data quality, and health informatics, with training provided on scoring methodologies.