Healthcare Subject Matter Expert (SME) - AI Model Evaluation (USA)

Volga Partners

3d • $15 - $35 • Remote

About The Position

Volga Partners is seeking medical students, residents, and advanced healthcare trainees to evaluate and improve artificial intelligence models’ understanding of healthcare information and clinical scenarios. This is not a direct patient-care role: evaluators will not diagnose actual patients or make treatment decisions for them. Instead, they will use their medical education, clinical training, and evidence-based reasoning to assess AI-generated content and provide structured feedback. Previous AI experience is not required.

The opportunity is project-based and remote for candidates in the United States. Assignments are distributed according to project needs and availability; workloads may be irregular or intermittent, and specific hours or future assignments are not guaranteed. Schedules may include weekday and weekend assignments. Work is completed on designated online platforms, including DataCompute. Project duration depends on client requirements and availability, and qualified applicants may be asked to complete a medical knowledge or clinical reasoning assessment.

The role is intended for people pursuing or completing training in General Practice, Family Medicine, Internal Medicine, Nurse Practitioner, or Physician Assistant/Associate pathways. Independent medical licensure and prior employment as a licensed physician, NP, or PA are not required for eligible student-level evaluation assignments. Compensation is $15–$35 USD per hour, depending on specialty, educational background, clinical training, relevant experience, location, assignment complexity, client approval, and project requirements.

Requirements

• 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.
• Second-year medical students must be enrolled at a top medical school; third-year students and above may come from any qualifying program.
• Relevant academic coursework, clinical rotations, or supervised training in General Practice, Family Medicine, Internal Medicine, Nurse Practitioner practice, or Physician Assistant practice.
• Strong foundational knowledge of medical terminology, anatomy, physiology, pathology, pharmacology, and relevant clinical concepts.
• Ability to assess medical scenarios, interpret clinical information, and distinguish evidence-based reasoning from inaccurate or unsupported conclusions.
• Ability to research medical literature, interpret clinical guidelines, and verify findings using authoritative healthcare resources.
• Strong analytical reasoning, problem-solving skills, and attention to detail.
• Excellent written English skills and the ability to clearly document clinical evaluations and support conclusions with credible evidence.
• Comfort using computers, web-based platforms, digital documentation, and online research tools.
• Ability to follow detailed instructions, work independently, and consistently meet quality requirements.
• Availability for a remote freelance engagement with assignments and schedules determined by project needs.
• Willingness to participate in a project-based opportunity with potentially irregular or intermittent workloads and no guaranteed hours or future assignments.

Nice To Haves

• 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.
• Previous AI evaluation experience; beneficial but not required.
• Candidates pursuing Family Nurse Practitioner (FNP) or Adult-Gerontology Primary Care Nurse Practitioner (AGPCNP) pathways are especially encouraged to apply.
• For Physician Assistant/Associate students, preference for those in the clinical phase of training.

Responsibilities

• Review AI-generated healthcare information for factual accuracy, completeness, clinical relevance, and consistency with established medical knowledge and guidelines.
• Evaluate AI-generated assessments, differential diagnoses, and treatment-related explanations for medical soundness and evidentiary support.
• Identify factual errors, unsupported assumptions, missing clinical considerations, and potential patient-safety concerns in AI responses.
• Verify medical information using credible sources, including peer-reviewed literature, clinical practice guidelines, and established healthcare resources.
• Analyze hypothetical patient cases, symptoms, medical histories, laboratory findings, and diagnostic information to evaluate AI-generated interpretations.
• Provide clear, evidence-based feedback explaining findings, inaccuracies, and appropriate corrections.
• Follow project-specific scoring rubrics, annotation instructions, and quality-assurance guidelines consistently.
• Complete independent evaluation tasks on 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.

Benefits

• Opportunity to apply medical education and clinical reasoning to AI evaluation projects.
• Contribute to improving the accuracy and reliability of healthcare AI.
• Exposure to AI evaluation, medical content assessment, and evidence-based research.
• Remote project assignments from an eligible location.

What This Job Offers

• Career Level: Entry Level
• Education Level: No Education Listed