Omar Elrfaay

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Object Detection

Prompt Response Writing SFT

Question Answering

Text Generation

Transcription

Translation Localization

Freelancer Overview

I have over 1.5 years of experience in software testing and backend development, with a strong focus on data quality, test case design, and automation. My background includes hands-on work as a crowd tester, where I performed exploratory, functional, and usability testing for web and mobile applications, identified and reported data and UI/UX issues, and collaborated with teams to enhance application quality. I am skilled in using tools like Selenium, TestNG, JUnit, and Postman to automate test suites and validate data integrity across APIs and user interfaces, ensuring high test coverage and reliable results. My technical expertise spans Java, Python, MySQL, and RESTful APIs, and I have contributed to projects involving event management systems, e-commerce platforms, and weather data integration, where accurate data labeling and validation were critical. My experience with AI fundamentals and prompt engineering, along with strong attention to detail and a commitment to high-quality data, make me well-suited for roles in data annotation and AI training data preparation.

Labeling Experience

outlier ai

Scale AITextQuestion AnsweringText Generation

Contributed to the Outlier Scale AI project as a data rater and quality validator. The primary scope of the project involved evaluating AI-generated responses for accuracy, relevance, coherence, and overall quality. Tasks included rating model outputs based on predefined guidelines, identifying factual errors or inconsistencies, and providing structured feedback to improve model performance.

Contributed to the Outlier Scale AI project as a data rater and quality validator. The primary scope of the project involved evaluating AI-generated responses for accuracy, relevance, coherence, and overall quality. Tasks included rating model outputs based on predefined guidelines, identifying factual errors or inconsistencies, and providing structured feedback to improve model performance.

2025

Education

Work History