Abdulrahman Sultan

Key Skills

Software

Appen

CVAT

Data Annotation Tech

Labelbox

Remotasks

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Audio Recording

Classification

Data Collection

Evaluation Rating

Object Detection

Freelancer Overview

I am an experienced AI Trainer and Data Analyst with a strong background in data labeling, annotation, and AI model evaluation. With expertise in training AI systems across multiple domains, I have worked on projects involving autonomous vehicles, e-commerce data, and business intelligence. My proficiency in both Arabic and English allows me to contribute effectively to multilingual AI training and NLP tasks. In addition to AI training, I have over a year of experience in data analysis, leveraging Python, SQL, and visualization tools to extract insights and improve decision-making. My work includes cleaning and labeling large datasets, ensuring high-quality annotations for machine learning models, and optimizing AI performance. Passionate about advancing AI technologies, I bring a detail-oriented approach and a commitment to delivering accurate, high-quality data for AI applications.

Labeling Experience

E-commerce Product Data Labeling & Categorization

TelusImageEntity Ner ClassificationClassification

Labeled and categorized product images and descriptions for an e-commerce platform, ensuring accurate product classification and improving search and recommendation algorithms. Tasks included entity recognition for product attributes (e.g., brand, color, material), object detection for image-based tagging, and manual review for quality assurance. The labeled data helped enhance the platform’s AI-driven search engine and personalized product recommendations.

Labeled and categorized product images and descriptions for an e-commerce platform, ensuring accurate product classification and improving search and recommendation algorithms. Tasks included entity recognition for product attributes (e.g., brand, color, material), object detection for image-based tagging, and manual review for quality assurance. The labeled data helped enhance the platform’s AI-driven search engine and personalized product recommendations.

2024 - 2024

AI Training & Data Labeling for Autonomous Vehicles

AppenVideoBounding BoxPolygon

Worked on a large-scale autonomous vehicle dataset, labeling and annotating images and videos to improve AI-driven object detection and tracking. Tasks included drawing bounding boxes and polygons around vehicles, pedestrians, and road signs, as well as key point annotations for pose estimation. Ensured high accuracy and consistency through quality control measures and validation processes. The project contributed to enhancing self-driving car models by providing high-quality training data for machine learning algorithms.

Worked on a large-scale autonomous vehicle dataset, labeling and annotating images and videos to improve AI-driven object detection and tracking. Tasks included drawing bounding boxes and polygons around vehicles, pedestrians, and road signs, as well as key point annotations for pose estimation. Ensured high accuracy and consistency through quality control measures and validation processes. The project contributed to enhancing self-driving car models by providing high-quality training data for machine learning algorithms.

2022 - 2022

Education

Work History