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Rex

Clinical Medicine AI Specialist

Posted 2026-10-02
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Work Type
Remote
Location
Global
Compensation
$70 - $150 USD/hour

About this opportunity

Overview

Medical Science is seeking a Clinical Medicine AI Specialist to help improve the accuracy and safety of AI used for clinical reasoning, diagnostic support, and patient-facing health information. The work focuses on bringing clinical judgment, evidence-based medicine, and medical workflow knowledge into AI evaluation and training tasks.

What You'll Do

  • Review AI-generated clinical summaries, including patient histories, discharge notes, imaging reports, and multidisciplinary case discussions.
  • Label clinical cases and symptoms using de-identified vignettes, symptom clusters, and differential diagnoses aligned with current clinical guidance.
  • Evaluate AI-powered diagnostic, treatment, and triage suggestions and provide expert feedback grounded in clinical standards.
  • Build and validate medical knowledge graph relationships across diseases, drugs, procedures, contraindications, and ICD / SNOMED concepts.

Requirements

  • Medical degree (MD, MBBS, or equivalent), or an advanced degree such as an MSc or PhD in a clinical or biomedical field.
  • Board certification or specialist qualification is highly desirable.
  • Practical clinical experience in a hospital, clinic, or academic medical center.
  • A recognized specialty such as internal medicine, radiology, oncology, cardiology, or pathology is a strong plus.
  • Strong knowledge of clinical guidelines, medical terminology, ICD-10 / ICD-11, SNOMED CT, LOINC, and evidence-based medicine.
  • Strong analytical and critical-reasoning skills.
  • Commitment to patient privacy, data de-identification standards, and clinical ethics.

Compensation

Compensation typically ranges from $70 to $150 USD per hour, with higher rates reserved for highly specialized clinical expertise or extensive professional experience.

Skills & expertise

Clinical Reasoning Medical Terminology Evidence-Based Medicine Clinical Guidelines Medical Data Annotation AI Evaluation Knowledge Graphs

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