Nurse Practitioner SME - AI Evaluation | Medical Students & Professionals (AUS)
Volga Partners
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Job summary
Volga Partners seeks Medical AI Evaluators to assess AI interpretations of healthcare information. This remote, project-based role targets students and trainees in General Practice, Family Medicine, Internal Medicine, NP, or PA paths, applying clinical knowledge to evaluate AI outputs.
Candidates will review cases, provide structured feedback, and follow project rubrics. Flexible schedules and remote work are offered for eligible individuals globally.
Qualifications
- Currently enrolled in medical education with clinical training or residency.
- Experience interpreting medical information and guidelines is helpful.
- Strong foundation in medical terminology, anatomy, physiology, pharmacology.
Responsibilities
- Evaluate AI-generated medical content for factual accuracy and clinical relevance.
- Assess AI-derived reasoning, differential diagnoses, and explanations.
- Identify medical inaccuracies and safety concerns in AI outputs.
- Conduct literature research and verify findings with credible sources.
- Review hypothetical cases and provide evidence-based feedback.
Skills
Education
Tools
Job description
Compensation: $15–$35 USD/hour, based on specialty, experience, and project requirements
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.
We're seeking qualified students and trainees in the following five areas:
1. General Practice:
Medical students in their third or fourth year, medical interns, or residents pursuing a broad foundation in general medical practice.
Ideal candidates have education or clinical exposure in:
- General patient assessment and clinical evaluation.
- Recognition and management principles for common medical conditions.
- Preventive medicine and general healthcare practices.
- Medical history review and interpretation of clinical findings.
- Fundamental diagnostic reasoning and evidence-based medical decision-making.
2. Family Medicine
Third- or fourth-year medical students, medical interns, or residents with clinical training, rotations, or demonstrated interest in family medicine.
Relevant experience may include:
- Primary care across different age groups and patient populations.
- Evaluation of acute and chronic medical conditions.
- Preventive care, wellness, and health screenings.
- Differential diagnosis and general treatment planning principles.
- Interpretation of medical histories, clinical findings, and evidence-based guidelines.
3. Internal Medicine
Third- or fourth-year medical students, medical interns, or residents with clinical training, rotations, or an interest in internal medicine.
Relevant knowledge and experience may include:
- Adult medicine and management principles for common or complex conditions.
- Interpretation of laboratory results and diagnostic findings.
- Recognition of multisystem diseases and related complications.
- Development and evaluation of differential diagnoses.
- Evidence-based approaches to clinical assessment and medical management.
4. Nurse Practitioner (NP)
Students currently enrolled in a recognized Nurse Practitioner educational program, particularly those completing advanced coursework or supervised clinical training.
Ideal candidates have education or experience in:
- Advanced health assessment and patient evaluation.
- Pathophysiology, pharmacology, and clinical management principles.
- Diagnostic reasoning and interpretation of medical findings.
- Evidence-based treatment planning and healthcare practices.
- Patient education, preventive care, and healthcare quality standards.
Candidates pursuing Family Nurse Practitioner (FNP) or Adult-Gerontology Primary Care Nurse Practitioner (AGPCNP) pathways are especially encouraged to apply.
5. Physician Assistant (PA) / Physician Associate
Students currently enrolled in a recognized Physician Assistant or Physician Associate program, preferably in the clinical phase of training.
Relevant educational and clinical experience may include:
- Patient assessment, medical history review, and physical examination.
- Clinical rotations in primary care, internal medicine, or family medicine.
- Differential diagnosis and interpretation of diagnostic findings.
- Evidence-based treatment and patient management principles.
- Medical documentation and evaluation of clinical scenarios.
As a Medical AI Evaluator, you'll apply your medical education and clinical training to assess how accurately AI systems interpret healthcare information and reason through medical scenarios.
- 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.
Volga Partners offers project-based hourly compensation based on educational background, clinical training, relevant experience, geographic location, and assignment complexity.
- Second-year students (top medical schools only): $15–$25/hr
- Third-year students and above: $20–$35/hr
- Second-year students (top medical schools only): $15–$25/hr
- Third-year students and above: $20–$35/hr
- Second-year students (top medical schools only): $15–$25/hr
- Third-year students and above: $20–$35/hr
- Second-year students (top medical schools only): $15–$20/hr
- Third-year students and above: $20–$28/hr
- Second-year students (top medical schools only): $15–$23/hr
- Third-year students and above: $20–$30/hr
- 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 (see list above)
Final compensation is subject to client approval, project requirements, and geographic eligibility.
This is a freelance, task-based opportunity intended for individuals interested in applying their medical knowledge to AI evaluation projects while continuing their education or clinical training.
Assignments are distributed based on project needs and availability. Workloads may be irregular or intermittent, and specific hours or future assignments are not guaranteed.
Use the medical knowledge and clinical reasoning skills gained through your coursework, clinical rotations, or supervised training to contribute to advanced AI evaluation projects.
Your evaluations will help identify weaknesses in AI-generated medical information and support the development of more reliable and medically informed AI systems.
Gain exposure to AI evaluation, medical content assessment, and evidence-based research while expanding your experience beyond traditional clinical settings.
Participate in specialized project assignments from an eligible location, with schedules and workloads based on project availability.
We're looking for candidates who can think critically, recognize accurate medical reasoning, identify errors, and explain their conclusions using credible medical evidence.
- Engagement Type: Project-Based Independent Contractor
- Work Arrangement: Remote
- Primary Location: United States
- Additional Markets Under Consideration: United Kingdom, Australia, New Zealand, Canada, India, and the Philippines, subject to client approval
- Schedule: Variable, including potential weekday and weekend assignments
- Evaluation Platform: DataCompute
- Project Duration: Based on client requirements and project availability
- Selection Process: Qualified applicants may be required to complete a medical knowledge or clinical reasoning assessment before selection.
Specific assignments, schedules, and workloads will be communicated as they become available.
Bring Your Medical Knowledge to the Future of AI
Whether you're completing medical school, advancing through residency, or pursuing Nurse Practitioner or Physician Assistant training, this is an opportunity to apply your developing clinical expertise to emerging healthcare technology.
At Volga Partners, we value candidates who demonstrate strong medical knowledge, thoughtful clinical reasoning, attention to detail, and the ability to evaluate complex information using evidence-based principles.
Join us in helping shape the next generation of healthcare AI.
Requirements
Required Qualifications
Candidates should possess the following qualifications:
- Medical or Advanced Healthcare Education: Current enrollment 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.
- Relevant Clinical Focus: Academic coursework, clinical rotations, or supervised training related to General Practice, Family Medicine, Internal Medicine, Nurse Practitioner practice, or Physician Assistant practice.
- Foundational Medical Knowledge: Strong understanding of medical terminology, anatomy, physiology, pathology, pharmacology, and clinical concepts relevant to their area of training.
- Clinical Reasoning and Evaluation: Ability to assess medical scenarios, interpret clinical information, and distinguish evidence-based reasoning from inaccurate or unsupported conclusions.
- Research and Evidence Verification: Ability to research medical literature, interpret clinical guidelines, and validate findings using authoritative healthcare resources.
- Analytical and Critical Thinking: S trong analytical reasoning, problem-solving abilities, and attention to detail.
- Written Communication: Excellent written English skills, with the ability to clearly explain clinical findings, document evaluations, and support conclusions with credible evidence.
- Technical Proficiency: Comfort working with computers, web-based platforms, digital documentation, and online research tools.
- Independent Work and Accountability: Ability to follow detailed instructions, complete assignments independently, and consistently meet established quality requirements.
- Project-Based Availability: Willingness to participate in a remote, freelance engagement where assignments and schedules are determined by project needs.
Independent medical licensure and previous employment as a licensed physician, Nurse Practitioner, or Physician Assistant are not required for eligible student-level evaluation assignments.
Preferred Qualifications
The following experience or qualifications may strengthen a candidate's application:
- Clinical rotations, clerkships, internships,
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