Nurse Practitioner SME - AI Evaluation
V
Volga PartnersHealthcare AI
AustraliaContract
Salary15 - 35 USD per hour
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Job Details
- Languages
- Excellent written English skills
Requirements
- Be currently enrolled in the third or fourth year of a recognized medical degree program, an eligible medical internship or residency, or an advanced NP or PA educational program with relevant clinical training.
- Have academic coursework, clinical rotations, or supervised training related to General Practice, Family Medicine, Internal Medicine, Nurse Practitioner practice, or Physician Assistant practice.
- Demonstrate understanding of medical terminology, anatomy, physiology, pathology, pharmacology, and clinical concepts relevant to your training.
- Be able to assess medical scenarios, interpret clinical information, and distinguish evidence-based reasoning from inaccurate or unsupported conclusions.
- Be able to research medical literature, interpret clinical guidelines, and validate findings using authoritative healthcare resources.
- Demonstrate analytical reasoning, problem-solving ability, and attention to detail.
- Have excellent written English skills to explain clinical findings, document evaluations, and support conclusions with credible evidence.
- Be comfortable with computers, web-based platforms, digital documentation, and online research tools.
- Be able to follow detailed instructions, complete assignments independently, and meet established quality requirements.
- Be willing to participate in a remote freelance engagement with assignments and schedules determined by project needs.
- Second-year medical students must be enrolled at a top medical school; third-year students and above are open to all qualifying programs.
Responsibilities
- Review AI-generated healthcare information for factual accuracy, completeness, clinical relevance, and consistency with medical knowledge and guidelines.
- Assess AI-generated clinical assessments, differential diagnoses, and treatment-related explanations for soundness and evidentiary support.
- Identify factual errors, unsupported assumptions, missing clinical considerations, and potential patient safety concerns.
- Validate information using peer-reviewed medical literature, clinical practice guidelines, and established healthcare resources.
- Analyze hypothetical patient cases, symptoms, medical histories, laboratory findings, and diagnostic information.
- Explain evaluation findings and recommend corrections supported by medical evidence and clinical standards.
- Follow project-specific scoring rubrics, annotation instructions, and quality assurance guidelines.
- Complete assigned evaluations using designated online platforms, including DataCompute, while meeting deadlines and quality expectations.
- Protect sensitive project information and comply with applicable privacy, ethical, and data security requirements.
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