Abdelrahman Mousa

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Text Summarization

Translation Localization

Prompt Response Writing SFT

Freelancer Overview

I am a backend developer with a strong foundation in computer science and hands-on experience working with data-driven applications. My background includes building secure, scalable systems using Java, Spring Boot, Node.js, and various databases such as MySQL and MongoDB. Through my internships and projects, I have developed a keen attention to detail and a solid understanding of data structures, data management, and API integration—skills that are essential for high-quality data labeling and annotation tasks. I am adept at collaborating with diverse teams, adapting quickly to new tools and workflows, and ensuring data accuracy and consistency. My experience working on projects like vacation tracking systems and job portal websites has strengthened my ability to handle structured data, implement access controls, and support efficient data processing, making me well-suited for roles focused on AI training data and annotation.

Labeling Experience

AI Training & LLM Evaluation Specialist – Outlier

Scale AITextText SummarizationTranslation Localization

Worked as an AI Training Specialist on large language model evaluation projects. Responsibilities included reviewing and rating AI-generated responses based on accuracy, coherence, reasoning quality, safety compliance, and instruction-following. Provided structured feedback to improve model performance using RLHF methodologies. Compared multiple model outputs, ranked responses, and identified hallucinations or logical inconsistencies. Ensured adherence to strict quality guidelines and maintained high evaluation accuracy under defined KPIs

Worked as an AI Training Specialist on large language model evaluation projects. Responsibilities included reviewing and rating AI-generated responses based on accuracy, coherence, reasoning quality, safety compliance, and instruction-following. Provided structured feedback to improve model performance using RLHF methodologies. Compared multiple model outputs, ranked responses, and identified hallucinations or logical inconsistencies. Ensured adherence to strict quality guidelines and maintained high evaluation accuracy under defined KPIs

2025 - 2025

Education

Work History