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Zeiad Gamal

Zeiad Gamal

AI Code Evaluator & Prompt Engineer (Freelance / Contract)

EGYPT flag
Benha, Egypt
$30.00/hrIntermediateLabelboxScale AIAppen

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI
AppenAppen

Top Subject Matter

AI Code Evaluation
Rlhf Domain Expertise
Prompt Engineering

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

RLHF
Evaluation Rating
Function Calling

Freelancer Overview

AI Code Evaluator & Prompt Engineer (Freelance / Contract). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Computer Science, Al-Obour High Institute (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including RLHF.

IntermediateEnglishArabic

Labeling Experience

AI Code Evaluator & Prompt Engineer (Freelance / Contract)

RLHF
As an AI Code Evaluator & Prompt Engineer (Freelance/Contract), I conducted deep technical evaluations of large language models, particularly Claude. I crafted complex, multi-file coding prompts to test AI reasoning and performed analysis to uncover hallucinations and logic errors in AI-generated code. I oversaw adversarial testing and containerized evaluation workflows to ensure reproducible, secure training data and feedback for RLHF pipelines. • Developed and administered coding prompts focused on context retention, reasoning, and model robustness. • Documented failure cases, edge behaviors, and security implications for AI model improvement. • Utilized Docker and version control to enable isolated evaluation of AI-generated code. • Supported AI training processes by providing structured feedback and expert code analysis.

As an AI Code Evaluator & Prompt Engineer (Freelance/Contract), I conducted deep technical evaluations of large language models, particularly Claude. I crafted complex, multi-file coding prompts to test AI reasoning and performed analysis to uncover hallucinations and logic errors in AI-generated code. I oversaw adversarial testing and containerized evaluation workflows to ensure reproducible, secure training data and feedback for RLHF pipelines. • Developed and administered coding prompts focused on context retention, reasoning, and model robustness. • Documented failure cases, edge behaviors, and security implications for AI model improvement. • Utilized Docker and version control to enable isolated evaluation of AI-generated code. • Supported AI training processes by providing structured feedback and expert code analysis.

Not specified

Education

A

Al-Obour High Institute

Bachelor of Computer Science, Computer Science

Bachelor of Computer Science
2021 - 2025

Work History

F

Freelance

AI Code Evaluator & Prompt Engineer

Benha
2023 - Present
D

DEPI

Full-Stack Developer Intern

Benha
2024 - 2025