Remote Medicine QA Lead - AI Training Expert

YO IT Consulting; Dubai; On-site; AED 178,560 - 290,160; Part time

Job summary

YO IT Consulting is seeking a Medicine QA Lead - AI Training in Dubai, United Arab Emirates. The role focuses on reviewing AI-generated medical content to ensure clinical accuracy and patient-safety standards while guiding remote QA contributors.

The ideal candidate has a medical degree and at least 3 years in clinical practice or healthcare QA, with strong knowledge of evidence-based medicine and medical terminology.

Qualifications

• Medical degree (MD/DO/MBBS or equivalent).
• Minimum 3 years in clinical practice, medical research, or healthcare QA related work.
• Strong English communication for precise medical feedback.

Responsibilities

• Review medical AI training items against project rubrics and clinical quality requirements.
• Evaluate medical accuracy, clinical reasoning, terminology, clarity and risk awareness.
• Assess differential diagnoses, case interpretations, and treatment summaries for clinical soundness.
• Review AI-generated explanations involving pathophysiology, pharmacology, labs, imaging, and patient education materials.
• Identify hallucinated facts, incorrect terminology, and misleading explanations.
• Provide precise written feedback explaining each clinical issue and required correction.

Skills

Medical quality assurance

Clinical reasoning

Differential diagnosis

Evidence-based medicine

Medical terminology

Patient safety

Medical writing

Rubric-based assessment

Data annotation quality

Remote team coordination

Education

MD/DO/MBBS-equivalent

Advanced clinical qualifications

Tools

Discord

Google Sheets

Google Docs

Quality trackers

Dashboards

Job description

YO IT Consulting is seeking a Medicine QA Lead - AI Training in Dubai, United Arab Emirates. The role focuses on reviewing AI-generated medical content to ensure clinical accuracy and patient-safety standards while guiding remote QA contributors.

The ideal candidate has a medical degree and at least 3 years in clinical practice or healthcare QA, with strong knowledge of evidence-based medicine and medical terminology.