Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Medical Dicom

Text

Top Task Types

Audio Recording

Data Collection

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

Mohamed Abdelaziz AI Training & Data Annotation Specialist (Pharmacy-Backed Precision + Multilingual NLP Expertise) Core Competencies 1. Language & Prompt Engineering Inspected 100+ AI prompts/responses, categorizing by: Intent (e.g., medical queries, creative generation) Language features (dialect, formality, cultural nuance) Transcribed multilingual audio prompts (Arabic/English), flagging accent/dialect biases. 2. Outlier Detection Identified 50+ critical outliers in datasets (off-topic/offensive prompts, mislabeled medical terms). Leveraged pharmacy-trained attention to detail (99.9% prescription accuracy) for QA. 3. Structured Annotation Applied consistent tagging schemas for: Medical text (drug interactions, side effects) Literary translation (manga/manhua localization) Subject Matter Expertise Healthcare/NLP: Annotated clinical text with domain-specific accuracy. Multilingual AI: Native Arabic (Masri/MSA) speaker with 500K+ words translated. Prompt Evaluation: Specialized in LLM response quality control. Technical Toolkit Annotation Platforms: Label Studio Languages: Arabic (Native), English (Fluent) Tools: Canva (30+ data visualization decks), Excel Background Highlights Pharmacy Technician (3+ years): Verified 50+ daily prescriptions, ensuring error-free structured data. Literary Translator: Localized culturally complex content (manga/manhua). Researcher: Analyzed obesity trends, demonstrating pattern recognition in datasets.

Labeling Experience

Education

Work History