Youssef Sameeh

Key Skills

Software

Clickworker

Img Lab

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Audio Recording

Computer Programming Coding

RLHF

Text Generation

Text Summarization

Freelancer Overview

I have extensive experience in collecting and annotating image, audio, and code datasets to train advanced AI systems. My expertise includes analyzing images with precision, providing accurate annotations, and categorizing audio files to enhance AI capabilities in understanding visual and auditory content. Additionally, I specialize in code annotation, enabling AI models to better comprehend and process programming logic. My skill set combines creative insight with technical proficiency, allowing me to deliver high-quality training data that supports the development of intelligent systems across various domains. I am committed to leveraging my expertise to improve AI performance and provide innovative solutions for tech-driven projects.

Labeling Experience

Comprehensive Data Labeling for Image and Audio AI Systems

Scale AIAudioBounding BoxSegmentation

This project involved the detailed annotation of image and audio datasets for training state-of-the-art AI models. For image datasets, I applied bounding boxes to objects, segmented images for precise object localization, and classified visual elements by category. For audio datasets, I categorized files by tone, emotion, and other relevant features. The project covered over 70,000 images and 15,000 audio files, adhering to rigorous quality standards with regular peer reviews and feedback sessions.

This project involved the detailed annotation of image and audio datasets for training state-of-the-art AI models. For image datasets, I applied bounding boxes to objects, segmented images for precise object localization, and classified visual elements by category. For audio datasets, I categorized files by tone, emotion, and other relevant features. The project covered over 70,000 images and 15,000 audio files, adhering to rigorous quality standards with regular peer reviews and feedback sessions.

2023 - 2023

Image and Audio Annotation for AI Model Training

Scale AIImageQuestion AnsweringRLHF

This project focused on annotating image and audio datasets to train AI models for multimedia processing. Tasks included applying bounding boxes to objects in images, segmenting key areas for improved model accuracy, and classifying audio clips by tone and emotion. The project spanned a dataset of over 50,000 images and 10,000 audio files, with strict adherence to quality standards through multiple review cycles.

This project focused on annotating image and audio datasets to train AI models for multimedia processing. Tasks included applying bounding boxes to objects in images, segmenting key areas for improved model accuracy, and classifying audio clips by tone and emotion. The project spanned a dataset of over 50,000 images and 10,000 audio files, with strict adherence to quality standards through multiple review cycles.

2023 - 2023

Education

Work History