Youssef Essid

Key Skills

Software

Appen

Label Studio

SuperAnnotate

Other

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Top Task Types

Audio Recording

Entity Ner Classification

Evaluation Rating

Freelancer Overview

I am a French-speaking software developer and data scientist with strong expertise in linguistic data annotation and phonetic transcription. My background combines technical precision from software engineering with a deep understanding of phonetics and language structures, allowing me to deliver highly accurate, consistent transcriptions. I am skilled in using web-based labeling tools and familiar with ARPABET phonemic transcription, quality checks, and disfluency spotting. I have contributed to AI training projects involving speech data preparation, text annotation, and quality assurance workflows. My commitment to detail and my analytical mindset ensure that each labeled dataset supports the creation of robust, next-generation speech recognition and language learning models. My experience in data science further helps me understand the impact of clean, precise data on model performance and downstream AI applications.

Labeling Experience

3D Object Interaction and Annotation in Unity for AI Training

Other3D SensorClassificationObject Detection

Developed and implemented 3D object interaction scenarios in Unity to support AI model training for object recognition and action understanding. Annotated 3D models and user interactions, creating labeled datasets for computer vision and reinforcement learning models. Designed custom Unity scripts to record object states, user actions, and spatial annotations in real-time. Contributed to QA and dataset validation to ensure high accuracy and consistency. Worked with various 3D assets and complex interactive environments, helping train AI systems to better understand human-object interactions in virtual spaces.

Developed and implemented 3D object interaction scenarios in Unity to support AI model training for object recognition and action understanding. Annotated 3D models and user interactions, creating labeled datasets for computer vision and reinforcement learning models. Designed custom Unity scripts to record object states, user actions, and spatial annotations in real-time. Contributed to QA and dataset validation to ensure high accuracy and consistency. Worked with various 3D assets and complex interactive environments, helping train AI systems to better understand human-object interactions in virtual spaces.

2024 - 2024

French Audio Transcription and Phonetic Annotation for ASR

Label StudioAudioEntity Ner ClassificationEvaluation Rating

Transcribed large batches of short (5–15 s) and long (≈1 min) French audio clips at the phoneme and word level using ARPABET phonemic transcription standards. Carefully identified and corrected disfluencies, reading errors, and other speech inconsistencies to ensure high-quality, research-grade data for training automatic speech recognition (ASR) and language-learning models. Participated in peer review and QA processes to maintain consistency and accuracy across the dataset. Contributed to an iterative annotation workflow supporting next-generation AI voice models. Approximately 500+ clips processed, totaling over 50 hours of audio.

Transcribed large batches of short (5–15 s) and long (≈1 min) French audio clips at the phoneme and word level using ARPABET phonemic transcription standards. Carefully identified and corrected disfluencies, reading errors, and other speech inconsistencies to ensure high-quality, research-grade data for training automatic speech recognition (ASR) and language-learning models. Participated in peer review and QA processes to maintain consistency and accuracy across the dataset. Contributed to an iterative annotation workflow supporting next-generation AI voice models. Approximately 500+ clips processed, totaling over 50 hours of audio.

2024 - 2024

Education

Work History