Mahmoud ُُelmosalamy

Key Skills

Software

Appen

Clickworker

Scale AI

Remotasks

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Audio Recording

Computer Programming Coding

Prompt Response Writing SFT

RLHF

Freelancer Overview

I am a Computer Science graduate and a backend developer with 3 years of experience building systems for the oil and gas industry, e-learning platforms, and e-commerce solutions. My technical background in Laravel, JavaScript, and databases gives me a strong understanding of data structure, consistency, and quality control — all of which are essential for high-quality AI training data. While I am new to AI training and data labeling, my experience in handling structured data, writing clean and logical backend code, and managing real-time operational systems makes me well-prepared for labeling tasks that require precision and context understanding. I am especially confident in working with Arabic content, technical forms, and visual datasets related to industrial environments. I am eager to contribute to building better AI through accurate, meaningful, and reliable data annotation.

Labeling Experience

Image and Text Labeling for Autonomous Vehicle Training

Scale AIImageBounding BoxClassification

I worked on labeling street scenes for self-driving car datasets. My tasks included drawing bounding boxes around vehicles, traffic signs, lane markings, and pedestrians. I also classified road conditions and traffic behaviors in various weather and lighting scenarios. In text-based tasks, I labeled driving-related commands and categorized Arabic and English texts based on intent and sentiment.

I worked on labeling street scenes for self-driving car datasets. My tasks included drawing bounding boxes around vehicles, traffic signs, lane markings, and pedestrians. I also classified road conditions and traffic behaviors in various weather and lighting scenarios. In text-based tasks, I labeled driving-related commands and categorized Arabic and English texts based on intent and sentiment.

2024 - 2024

Education

Work History