Scores AI health-coaching responses against a rubric, flagging safety risks, regulatory issues and clinical inaccuracies with written feedback. Suits US-licensed registered nurses with at least two years of clinical practice who want short, part-time asynchronous work.
Sobre a vaga
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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