Ziyad Ahmed

Key Skills

Software

Appen

CVAT

Labelbox

Label Studio

Scale AI

Supervisely

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Polygon

Entity Ner Classification

Segmentation

Classification

Object Detection

Freelancer Overview

I am a detail-oriented AI data annotator and trainer with three years of hands-on experience working with leading platforms like Remotasks and Appen. My expertise covers a wide range of data labeling tasks, including text annotation and NLP, image and video labeling with bounding boxes and classification, LiDAR 3D point cloud labeling, audio transcription, and multilingual data handling. I have contributed to major projects in computer vision, search relevance, ads evaluation, and content moderation, consistently delivering high-quality and accurate labeled data—over 2,000 items to date. Proficient in tools such as Label Studio and CVAT, I excel at following detailed guidelines, ensuring bias and safety evaluation, and maintaining high inter-rater agreement. My background in telecommunication engineering further strengthens my technical and analytical abilities, allowing me to support the development of robust AI models across diverse domains.

Labeling Experience

Image & Video Annotation for Computer Vision - Remotasks (Scale AI)

CVATImagePolygonEntity Ner Classification

Contributed to computer vision dataset for autonomous driving and object detection models on Remotasks (Scale AI platform). Performed detailed image and video annotation using bounding boxes. polygons, semantic segmentation, and object tracking across frames. Qualified for advanced LiDAR/3D point cloud labeling after bootcamp training. Labeled thousands of real-world scene items monthly while strictly following projects guidelines and achieving high consensus/accuracy scores on quality reviews. Focused on precision to improve model performance in edge cases like varied lighting and occlusions.

Contributed to computer vision dataset for autonomous driving and object detection models on Remotasks (Scale AI platform). Performed detailed image and video annotation using bounding boxes. polygons, semantic segmentation, and object tracking across frames. Qualified for advanced LiDAR/3D point cloud labeling after bootcamp training. Labeled thousands of real-world scene items monthly while strictly following projects guidelines and achieving high consensus/accuracy scores on quality reviews. Focused on precision to improve model performance in edge cases like varied lighting and occlusions.

2023 - 2025

Education

Work History