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Hamid Mohamed

Hamid Mohamed

Skilled Data Labeling Specialist for AI Training & Evaluation

Egypt flagAlexandria, Egypt
$22.00/hrEntry LevelData Annotation TechOther

Key Skills

Software

Data Annotation TechData Annotation Tech
Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
ImageImage

Top Task Types

Classification
Computer Programming Coding
Data Collection
Fine Tuning
Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented data annotator with hands-on experience labeling and evaluating datasets to train and improve AI systems. Through my work on platforms like Outlier.ai, I’ve contributed to projects involving LLM evaluation, text classification, and search relevance—applying careful judgment, consistency, and adherence to strict guidelines. My academic background in computer and data science has equipped me with strong analytical thinking and a solid foundation in data-driven tasks. I bring a clear understanding of natural language processing concepts, data quality assurance, and user intent modeling. I’m quick to learn new tools, responsive to feedback, and committed to producing high-quality labeled data that helps AI systems perform better in real-world applications. I’m now eager to contribute to diverse projects and continue growing in the AI training field.

Entry LevelArabicEnglish

Labeling Experience

LLM Evaluation and Text Classification Project

OtherComputer Code ProgrammingComputer Programming CodingData Collection
Worked as a freelance data annotator on a project to train and evaluate large language models. Responsibilities included classifying responses based on quality, accuracy, and coherence, as well as rating prompt-response pairs to assess instruction following and helpfulness. Contributed to quality assurance by spotting inconsistent or low-quality outputs. The project also involved writing and reviewing user prompts and suggested model completions. Adhered to strict guidelines and feedback cycles to ensure data quality. Labeled hundreds of examples with >95% accuracy based on reviewer feedback.

Worked as a freelance data annotator on a project to train and evaluate large language models. Responsibilities included classifying responses based on quality, accuracy, and coherence, as well as rating prompt-response pairs to assess instruction following and helpfulness. Contributed to quality assurance by spotting inconsistent or low-quality outputs. The project also involved writing and reviewing user prompts and suggested model completions. Adhered to strict guidelines and feedback cycles to ensure data quality. Labeled hundreds of examples with >95% accuracy based on reviewer feedback.

2024 - 2024

Education

A

Alexandria University

Bachelor of Science, Computer and Data Science

Bachelor of Science
2021 - 2025

Work History

P

Personal Project

Project Leader

Alexandria
2025 - 2025