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Hello, I’m Zeyad Medhat Mohamed, an AI Data & Speech Annotation Specialist focused on building accurate, high-quality datasets for training AI communication models. I support speech recognition projects with careful audio segmentation, transcription evaluation, and data quality assurance to ensure robust model performance. I’m detail-oriented, adept at following strict annotation guidelines, and enjoy collaborating with data scientists to deliver reliable results on remote freelance projects.…Hello, I’m Zeyad Medhat Mohamed, an AI Data & Speech Annotation Specialist focused on building accurate, high-quality datasets for training AI communication models. I support speech recognition projects with careful audio segmentation, transcription evaluation, and data quality assurance to ensure robust model performance. I’m detail-oriented, adept at following strict annotation guidelines, and enjoy collaborating with data scientists to deliver reliable results on remote freelance projects.

Zeyad Medhat Mohamed

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Hello, I’m Zeyad Medhat Mohamed, an AI Data & Speech Annotation Specialist focused on building accurate, high-quality datasets for training AI communication models. I support speech recognition projects with careful audio segmentation, transcription evaluation, and data quality assurance to ensure robust model performance. I’m detail-oriented, adept at following strict annotation guidelines, and enjoy collaborating with data scientists to deliver reliable results on remote freelance projects.…Hello, I’m Zeyad Medhat Mohamed, an AI Data & Speech Annotation Specialist focused on building accurate, high-quality datasets for training AI communication models. I support speech recognition projects with careful audio segmentation, transcription evaluation, and data quality assurance to ensure robust model performance. I’m detail-oriented, adept at following strict annotation guidelines, and enjoy collaborating with data scientists to deliver reliable results on remote freelance projects.

Available to hire

Hello, I’m Zeyad Medhat Mohamed, an AI Data & Speech Annotation Specialist focused on building accurate, high-quality datasets for training AI communication models. I support speech recognition projects with careful audio segmentation, transcription evaluation, and data quality assurance to ensure robust model performance.

I’m detail-oriented, adept at following strict annotation guidelines, and enjoy collaborating with data scientists to deliver reliable results on remote freelance projects.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Arabic

Fluent

English

Fluent

German

Fluent

Work Experience

AI Data Annotation Specialist (Remote / Freelance) at Self-employed / Freelance

January 1, 2023 - Present

Reviewed and refined audio segmentation for precise speech alignment. Evaluated and corrected AI-generated transcriptions for accuracy and clarity. Flagged low-quality audio and ensured compliance with project guidelines.

Data Entry & Content Reviewer (Remote)

January 1, 2022 - January 1, 2023

Verified text accuracy across structured datasets. Maintained consistency, formatting accuracy, and data integrity.

Text Data Labeling & Annotation Specialist at Labelbox

June 1, 2024 - March 1, 2025

Worked on text data labeling projects for AI/NLP model training including text classification, Named Entity Recognition (NER), transcription review, question answering, and content quality evaluation. Used Labelbox, Appen, Scale AI, and CVAT while ensuring strict quality and consistency standards. Collaborated with data scientists to improve model performance.

Data Labeling & Annotation Specialist at Scale AI

May 1, 2022 - April 1, 2024

Labeled and categorized thousands of text samples for NLP training including classification, NER, sentiment analysis, question answering, and polygon annotation tasks.

Object Detection & Bounding Box Annotation Specialist

October 1, 2021 - February 1, 2022

Worked on image and video object detection projects. Created bounding boxes, performed classification and segmentation, and verified annotation accuracy using CVAT, Labelbox, Supervisely, and LabelImg.

Sports Object Detection & Annotation at CVAT

March 1, 2020 - March 1, 2021

Annotated sports images by labeling players, balls, and equipment using bounding boxes to create high-quality datasets for computer vision model training.