For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
M

Megi Tetemadze

Medical Subject Matter Expert (SME) for AI Training

Georgia flagTbilisi, Georgia
$30.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Pediatric Medicine

Top Data Types

No data types listed

Top Task Types

DiagnosisDiagnosis

Freelancer Overview

Medical Subject Matter Expert (SME) for AI Training. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Medicine, Ivane Javakhishvili Tbilisi State University (2021). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Diagnosis.

Entry LevelEnglishGeorgianRussian

Labeling Experience

Medical Subject Matter Expert (SME) for AI Training

Diagnosis
As a Medical Subject Matter Expert (SME) for AI training, I contributed medical expertise for developing clinical data sets to refine medical AI models. I reviewed, verified, and annotated pediatric clinical cases based on international medical guidelines. My main responsibilities included ensuring accuracy of medical data labeling and providing structured diagnostic input for training purposes. • Conducted in-depth labeling of pediatric medical records for AI training datasets. • Utilized evidence-based medicine tools such as UpToDate and Rome IV for annotation reliability. • Focused on diagnosis classification and verification for pediatric health cases. • Collaborated with AI developers to enhance dataset quality and model outcomes.

As a Medical Subject Matter Expert (SME) for AI training, I contributed medical expertise for developing clinical data sets to refine medical AI models. I reviewed, verified, and annotated pediatric clinical cases based on international medical guidelines. My main responsibilities included ensuring accuracy of medical data labeling and providing structured diagnostic input for training purposes. • Conducted in-depth labeling of pediatric medical records for AI training datasets. • Utilized evidence-based medicine tools such as UpToDate and Rome IV for annotation reliability. • Focused on diagnosis classification and verification for pediatric health cases. • Collaborated with AI developers to enhance dataset quality and model outcomes.

2026 - Present

Education

I

Ivane Javakhishvili Tbilisi State University

Doctor of Medicine, Medicine

Doctor of Medicine
2015 - 2021

Work History

M

Medical Evidence Clinic

Pediatrician

Tbilisi
2026 - Present
M

Mrcheveli

Pediatrician

Tbilisi
2022 - Present