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A

Anna C.

Clinical data annotation and AI training dataset labeling (skills-based)

USA flagCosta Mesa, Usa

Key Skills

Software

Don't disclose
Data Annotation TechData Annotation Tech

Top Subject Matter

Healthcare/clinical medicine (multispecialty)

Top Data Types

TextText

Top Task Types

Text GenerationText Generation

Freelancer Overview

Clinical data annotation and AI training dataset labeling (skills-based). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Doctor of Medicine, Medical University of Plovdiv, Faculty of Medicine (2025). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Entity (NER).

Labeling Experience

Clinical data annotation and AI training dataset labeling (skills-based)

Don't disclose

Produced and validated clinical data labels for AI training datasets focused on diagnoses and clinical documentation. Structured and annotated labelling outputs using consistent healthcare terminology suitable for supervised learning tasks. Conducted quality checks through expert review of AI-generated differentials and triage recommendations. • Labeled diagnoses, imaging reports, and clinical notes for dataset creation • Performed data annotation validation to ensure label consistency • Reviewed AI-generated outputs (differential diagnoses, triage recommendations, treatment suggestions) • Produced structured health assessment records to support dataset generation

2022 - 2025

Education

M

Medical University of Plovdiv, Faculty of Medicine

Doctor of Medicine, Medicine

Doctor of Medicine
2021 - 2025

Work History

S

St. George's Hospital

Obstetrics and Gynecology Intern

Plovdiv
2024 - 2024
S

St. George's Hospital

Pediatrics Intern

Plovdiv
2024 - 2024