Zeyad Asar

Key Skills

Software

Appen

CVAT

Labelbox

LabelImg

Scale AI

Supervisely

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Audio Recording

Bounding Box

Object Detection

Polygon

Transcription

Freelancer Overview

I am an experienced AI data and speech annotation specialist with a strong background in audio segmentation review, transcription evaluation, and data quality assurance. My work has focused on refining audio datasets and ensuring the accuracy of speech-to-text transcriptions, which are critical for training advanced AI communication models. I excel at following strict annotation guidelines, maintaining high attention to detail, and delivering reliable, high-quality labeled data. I am proficient with browser-based audio annotation tools, speech recognition systems, and collaborative platforms like Google Docs and Sheets. My flexible, remote work experience has equipped me to handle complex annotation tasks efficiently and consistently, supporting the development of robust AI and NLP solutions.

Labeling Experience

Text Data Labeling & Annotation Specialist

LabelboxTextEntity Ner ClassificationQuestion Answering

Worked on text data labeling and annotation projects for AI and NLP model training. Tasks included text classification, entity recognition (NER), transcription review, question answering, and content quality evaluation. Ensured high accuracy and consistency by following strict project guidelines and performing thorough quality checks. Used tools such as Labelbox, Appen, Scale AI, and CVAT to efficiently label large datasets. Collaborated with data scientists to optimize datasets, improving model performance and reliability.

Worked on text data labeling and annotation projects for AI and NLP model training. Tasks included text classification, entity recognition (NER), transcription review, question answering, and content quality evaluation. Ensured high accuracy and consistency by following strict project guidelines and performing thorough quality checks. Used tools such as Labelbox, Appen, Scale AI, and CVAT to efficiently label large datasets. Collaborated with data scientists to optimize datasets, improving model performance and reliability.

2024 - 2025

Data Labeling & Annotation Specialist

Scale AITextPolygonAudio Recording

Worked on a text annotation project for AI/NLP model training. Labeled and categorized thousands of text samples for classification, entity recognition (NER), sentiment analysis, and question answering tasks.

Worked on a text annotation project for AI/NLP model training. Labeled and categorized thousands of text samples for classification, entity recognition (NER), sentiment analysis, and question answering tasks.

2022 - 2024

Object Detection & Bounding Box Annotation Specialist

LabelimgVideoBounding BoxSegmentation

Worked on object detection projects for AI and computer vision model training. Tasks included drawing bounding boxes, labeling objects, classifying items in images and videos, and verifying annotations for accuracy. Ensured high-quality datasets by following strict guidelines and performing review checks. Used tools such as CVAT, Labelbox, Supervisely, and LabelImg. Collaborated with AI engineers to optimize datasets, improving model performance and detection accuracy.

Worked on object detection projects for AI and computer vision model training. Tasks included drawing bounding boxes, labeling objects, classifying items in images and videos, and verifying annotations for accuracy. Ensured high-quality datasets by following strict guidelines and performing review checks. Used tools such as CVAT, Labelbox, Supervisely, and LabelImg. Collaborated with AI engineers to optimize datasets, improving model performance and detection accuracy.

2021 - 2022

Sports Object Detection & Bounding Box Annotation

CVATImageBounding Box

object detection and annotation for sports images using CVAT. Labeled and classified objects such as players, balls, and equipment with bounding boxes to create high-quality datasets for AI and computer vision model training.

object detection and annotation for sports images using CVAT. Labeled and classified objects such as players, balls, and equipment with bounding boxes to create high-quality datasets for AI and computer vision model training.

2020 - 2021

Education

Work History