AI Training/Data Labeling
I worked on data annotation for AI projects, labeling and organizing datasets, followed clear guidelines, and maintained quality to support model performance.
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Medical Data Annotator (AI-driven Projects). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Medicine and Bachelor of Surgery, MTI University – Faculty of Medicine (2026). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Classification. I am an Intern Doctor (House Officer) and medical graduate with hands-on clinical training at Ain Shams University Hospitals. Strong medical background with solid clinical reasoning skills and growing experience in AI-driven medical projects, including data annotation, medical content evaluation, and contextual judgment. Eligible and actively training for radiology-related AI projects. I am a native Arabic speaker from Egypt. I can speak English fluently. Skills: Data Annotation & Labeling. Text Classification & Entity Recognition. Data Entry & Quality Assurance. Translation. Prompt Evaluation & Response Rating. Contextual Understanding & Comparative Judgment. Error Identification (factual, linguistic, logical). Attention to Detail & Critical Thinking. Brainstorming & Idea Generation.
I worked on data annotation for AI projects, labeling and organizing datasets, followed clear guidelines, and maintained quality to support model performance.
Participated in AI-driven medical projects involving data annotation and contextual evaluation. Conducted hands-on annotation of medical images such as CT and X-rays to support medical AI applications. Engaged in the review and validation of radiology reports for training datasets. • Annotated radiological images to identify clinical features • Evaluated and ensured accuracy of medical content for AI • Reviewed annotated datasets for contextual correctness • Applied domain expertise in medicine and radiology for labeling.
Intern Doctor , medicine
Bachelor of Medicine and Bachelor of Surgery, Medicine and Surgery
AI training, data annotator
Intern Doctor (House Officer)