NP & RN SME - AI Evaluation

Remote | Australia | Project-Based Independent Contractor

Compensation: $15–$35 USD/hour, based on specialty, experience, and project requirements.

Help Shape the Future of AI in Healthcare. What if the medical knowledge and clinical skills you're developing could help improve how artificial intelligence understands complex healthcare information, evaluates medical scenarios, and delivers more accurate, reliable responses? At Volga Partners, we're connecting medical students, residents, and advanced healthcare trainees with opportunities to contribute to the evaluation and improvement of advanced Artificial Intelligence (AI) models.

We're seeking individuals currently pursuing medical education or completing supervised clinical training in General Practice, Family Medicine, Internal Medicine, Nurse Practitioner, or Physician Assistant pathways. This opportunity is designed for candidates who can apply their academic knowledge, clinical training, and evidence-based reasoning to evaluate AI-generated medical information. This is not a traditional clinical position. You will not provide direct patient care, diagnose actual patients, or make treatment decisions for real patients. Instead, you'll assess medical scenarios, evaluate clinical reasoning, identify inaccuracies, and provide structured feedback to help improve AI model performance. Previous AI experience is not required. We're looking for candidates with a strong foundation in medical knowledge, analytical thinking, and an interest in applying their education to emerging healthcare technology.

Areas of Medical Education & Clinical Training:

• General Practice: Medical students in their third or fourth year, medical interns, or residents pursuing a broad foundation in general medical practice.
• Family Medicine: Third- or fourth-year medical students, medical interns, or residents with clinical training, rotations, or demonstrated interest in family medicine.
• Internal Medicine: Third- or fourth-year medical students, medical interns, or residents with clinical training, rotations, or an interest in internal medicine.
• Nurse Practitioner (NP): Students currently enrolled in a recognized Nurse Practitioner educational program, particularly those completing advanced coursework or supervised clinical training.
• Physician Assistant (PA) / Physician Associate: Students currently enrolled in a recognized Physician Assistant or Physician Associate program, preferably in the clinical phase of training.

What You'll Do:

• Evaluate AI-Generated Medical Content: Review AI-generated healthcare information for factual accuracy, completeness, clinical relevance, and consistency with established medical knowledge and guidelines.
• Assess Clinical Reasoning: Evaluate AI-generated assessments, differential diagnoses, and treatment-related explanations to determine whether conclusions are medically sound and supported by appropriate evidence.
• Identify Medical Inaccuracies: Recognize factual errors, unsupported assumptions, missing clinical considerations, and potential patient safety concerns in AI-generated responses.
• Conduct Medical Research and Verification: Validate information using credible sources, including peer-reviewed medical literature, clinical practice guidelines, and established healthcare resources.
• Review Clinical Scenarios: Analyze hypothetical patient cases, symptoms, medical histories, laboratory findings, and diagnostic information to evaluate AI-generated interpretations.
• Provide Evidence-Based Feedback: Clearly explain findings, identify inaccuracies, and recommend appropriate corrections supported by medical evidence and clinical standards.
• Apply Evaluation Standards: Consistently follow project-specific scoring rubrics, annotation instructions, and quality assurance guidelines.
• Complete Assigned Evaluations: Perform independent evaluation tasks using designated online platforms, including DataCompute, while meeting established deadlines and quality expectations.
• Maintain Confidentiality and Professional Standards: Protect sensitive project information and comply with applicable privacy, ethical, and data security requirements.

Compensation & Project Structure:

Volga Partners offers project-based hourly compensation based on educational background, clinical training, relevant experience, geographic location, and assignment complexity. This opportunity is ideal for individuals seeking to earn supplemental income while applying their professional skills and expertise to meaningful projects.

Eligibility Requirements:

• Second-year medical students must be enrolled at a top medical school.
• Third-year students and above: open to all qualifying programs.
• Relevant specialty or study track required.

Why Join Volga Partners?

• Apply Your Medical Education in a New Way.
• Help Improve Healthcare AI Accuracy.
• Explore Emerging Healthcare Technology.
• Work Remotely.
• No AI Background Required.

Required Qualifications:

• Medical or Advanced Healthcare Education.
• Relevant Clinical Focus.
• Foundational Medical Knowledge.
• Clinical Reasoning and Evaluation.
• Research and Evidence Verification.
• Analytical and Critical Thinking.
• Written Communication.
• Technical Proficiency.
• Independent Work and Accountability.
• Project-Based Availability.

Preferred Qualifications:

• Clinical rotations, clerkships, internships, or supervised training in general practice, family medicine, internal medicine, or primary care.
• Enrollment in the clinical phase of an accredited or recognized medical, NP, or PA educational program.
• Experience reviewing medical records, clinical case studies, laboratory results, or diagnostic documentation.
• Familiarity with evidence-based medicine, differential diagnosis, and established clinical practice guidelines.
• Participation in medical research, literature reviews, clinical case presentations, or healthcare-related academic projects.
• Exposure to healthcare quality assurance, medical documentation review, or clinical evaluation.
• Interest in artificial intelligence, healthcare technology, or medical informatics.