Ahmed G.

Key Skills

Software

Data Annotation Tech

Top Subject Matter

AI Training Data Specialist | Arabic Language & Speech Annotation

Arabic AI Trainer | NLP, Localization & Speech Data Annotation

AI Data Annotator | Python Programmer | Chatbot Evaluation & Localization

Top Data Types

Computer Code Programming

Text

Image

Top Task Types

Data Collection

Function Calling

Evaluation/Rating

Classification

Freelancer Overview

I am a Computer Engineering graduate from Ain Shams University with a strong foundation in data analysis, software development, machine learning, and artificial intelligence. Through my academic projects and self-study, I have worked extensively with data collection, data cleaning, data preprocessing, classification tasks, quality assurance, and detailed documentation. My technical background has trained me to follow strict guidelines, identify inconsistencies, maintain high accuracy, and work with structured and unstructured data efficiently. In addition to my technical skills, I have experience evaluating AI-generated outputs, performing research, and applying critical thinking to assess data quality and correctness. I am detail-oriented, highly organized, and comfortable working independently while meeting deadlines. My knowledge of Python, machine learning concepts, and data handling enables me to understand the importance of high-quality training data and contribute effectively to AI training and data labeling projects.

Labeling Experience

Arabic AI Training Data Annotation, Localization & Speech Evaluation

TextEvaluation/Rating

Contributed to the development and improvement of Arabic AI systems by annotating, validating, and evaluating both text and speech data. Performed Arabic language data annotation tasks including prompt-response validation, intent classification, language quality assessment, and conversational AI evaluation. Reviewed AI-generated responses for accuracy, relevance, fluency, and adherence to project guidelines to support the creation of high-quality training datasets. Conducted localization reviews to ensure AI responses were culturally appropriate, linguistically accurate, and tailored to different Arabic-speaking audiences. Additionally, worked on speech and voice-related tasks involving audio evaluation, transcription validation, pronunciation assessment, and speech data quality review. Maintained high annotation accuracy and consistency while following detailed guidelines to support Natural Language Processing (NLP), Automatic Speech Recognition (ASR), and Conversational AI model development.

2025 - 2025

AI Chatbot Response Comparison & Ranking

TextEvaluation/Rating

Evaluated and compared AI-generated chatbot responses across a wide range of user prompts to determine the most accurate, relevant, and helpful outputs. Applied detailed annotation guidelines to assess response quality based on criteria such as correctness, instruction adherence, coherence, completeness, fluency, and user satisfaction. Assigned preference rankings between competing responses and provided justification for evaluation decisions when required. Collaborated with quality assurance processes to ensure annotation consistency and data reliability for AI model training. Contributed to the development of high-quality human feedback datasets used to improve conversational AI systems, enhance response generation, and support Reinforcement Learning from Human Feedback (RLHF) workflows. Worked extensively with English and Arabic content while maintaining high accuracy and attention to detail.

2025 - 2025

Education

Work History