Healthcare Professional, SME – AI Evaluator

Volga Partners

. Evaluate AI-generated healthcare information for factual accuracy, completeness, clinical relevance, and consistency with established medical knowledge and guidelines .

Posted 11/6/2026contractRemote • United Kingdom, United States, Australia, New Zealand, Canada, India, PhilippinesMid-LevelSenior💰 $15 - $35 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical reasoning and problem-solving abilities in evaluating AI-generated healthcare information for accuracy and clinical relevance. Proficient in medical terminology and literature research, with a focus on evidence-based feedback and adherence to quality assurance guidelines.

Highest-signal resume keywords

Medical Degree Program EnrollmentUnderstanding Of Medical TerminologyResearching Medical LiteratureAnalytical ReasoningAttention To Detail

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Clinical AssessmentsDifferential DiagnosesEvidence-Based FeedbackMedical ResearchInterpreting Clinical InformationAssessing Medical ScenariosUnderstanding Clinical GuidelinesEvaluating Patient CasesAnalyzing Diagnostic InformationCompleting Independent Evaluations

Soft Skills

Excellent Written English SkillsAbility To Follow Detailed InstructionsProblem-Solving AbilitiesAttention To Detail

Tools & Technologies

DataComputeWeb-Based PlatformsDigital DocumentationOnline Research Tools

Industry Keywords

General PracticeFamily MedicineInternal MedicineNurse Practitioner PracticePhysician Assistant PracticeClinical RelevancePatient SafetyQuality Assurance GuidelinesConfidentialityData Security

About the role

Key responsibilities & impact

Evaluate AI-generated healthcare information for factual accuracy, completeness, clinical relevance, and consistency with established medical knowledge and guidelines
Assess AI-generated clinical assessments, differential diagnoses, and treatment-related explanations
Identify factual errors, unsupported assumptions, missing clinical considerations, and potential patient safety concerns
Conduct medical research and verify information using peer-reviewed literature, clinical practice guidelines, and established healthcare resources
Analyze hypothetical patient cases, symptoms, medical histories, laboratory findings, and diagnostic information
Provide evidence-based feedback and recommend appropriate corrections
Follow project-specific scoring rubrics, annotation instructions, and quality assurance guidelines
Complete independent evaluation tasks using designated online platforms, including DataCompute
Meet established deadlines and quality expectations
Maintain confidentiality and comply with privacy, ethical, and data security requirements

Requirements

What you’ll need

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
Academic coursework, clinical rotations, or supervised training related to General Practice, Family Medicine, Internal Medicine, Nurse Practitioner practice, or Physician Assistant practice
Strong understanding 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 validate findings using authoritative healthcare resources
Strong analytical reasoning, problem-solving abilities, and attention to detail
Excellent written English skills
Comfort working with computers, web-based platforms, digital documentation, and online research tools
Ability to follow detailed instructions, complete assignments independently, and meet established quality requirements
Willingness to participate in a remote, freelance engagement with project-dependent assignments and schedules
Second-year medical students must be enrolled at a top medical school
Third-year students and above are open to all qualifying programs
Relevant specialty or years of experience
Previous AI experience is not required
Independent medical licensure and previous employment as a licensed physician, Nurse Practitioner, or Physician Assistant are not required for eligible student-level assignments

Benefits

Comp & perks

Project-based hourly compensation
Remote work from an eligible location
Flexible, variable schedule including potential weekday and weekend assignments
Exposure to AI evaluation, medical content assessment, and evidence-based research
Opportunity to apply medical education and clinical reasoning beyond traditional clinical settings
No AI background required
Workloads and assignments based on project availability