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Duration: Approximately 4–6 weeks, with potential extensions About the Opportunity Join a leading AI research project by applying your clinical expertise to evaluate and improve next-generation AI healthcare systems. Review AI-generated clinical assessments, treatment recommendations, patient education materials, and healthcare workflows to ensure accuracy, safety, and evidence-based clinical reasoning. No prior AI experience is required.
Key Responsibilities: Evaluate AI-generated clinical assessments, treatment plans, and healthcare recommendations. Review clinical workflows and patient-care scenarios for accuracy and guideline adherence. Assess diagnostic accuracy, treatment appropriateness, and clinical usefulness. Review cases involving medication management, chronic disease care, preventive care, and patient counseling. Identify clinical inaccuracies, omissions, and potentially unsafe recommendations. Provide structured feedback on clinical content and patient communication materials. Contribute expert insights to improve AI healthcare systems and clinical decision-making. Required
Qualifications: 4+ years of experience as an NP, APRN, FNP, ACNP, PNP, or in a closely related advanced practice clinical role. Active RN licensure and advanced graduate-level nursing education. Experience diagnosing, treating, and managing acute or chronic medical conditions. Strong clinical assessment, treatment planning, and patient management skills. Excellent written English communication and clinical reasoning abilities. Availability for at least 20 hours per week. Ability to work independently in a remote environment.
Preferred Qualifications: Master's or Doctoral degree in Nursing or a related advanced practice discipline. Experience in primary care, acute care, urgent care, internal medicine, family medicine, pediatrics, emergency medicine, or specialty practice. Familiarity with evidence-based medicine, clinical guidelines, and quality improvement. Experience with EHRs and healthcare documentation systems. Background in healthcare education, research, training, or clinical leadership. Interest in digital health, healthcare technology, or AI-assisted clinical tools. Compensation $120–$150 per hour. Weekly payments through Stripe or Wise.
Application Process: Submit your application and professional background information. Complete any required screening assessments. Participate in project-specific evaluations, if applicable. Complete contractor onboarding. Begin contributing to active clinical evaluation projects. U.S.-based opportunity with immediate project availability. Applications reviewed on a rolling basis.

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