George Kamau

Key Skills

Software

CVAT

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Video

Top Task Types

Action Recognition

Text Generation

Freelancer Overview

I am an enthusiastic professional with over two years of remote experience in delivering high-quality written content, technical documentation, and research-driven articles. My background in Information Technology, combined with proficiency in graphic design and web development, enables me to approach data annotation and labeling tasks with strong attention to detail and technical accuracy. I excel at understanding project requirements, adapting to different data formats, and ensuring consistency and relevance in labeled datasets. My commitment to accuracy, client collaboration, and continuous learning positions me to contribute effectively to AI training data projects, particularly in areas such as natural language processing and content moderation.

Labeling Experience

Freelance Data Labeler / Self-Training Projects

CVATImageBounding Box

As a freelance data labeler, I performed annotation of images, videos, and texts to support AI and machine learning projects. My responsibilities included executing bounding box and polygon annotations for object detection and classification tasks. I validated labeled datasets for precision and followed structured guidelines to ensure consistent quality. • Labeled objects in diverse images using bounding boxes and polygons • Categorized, classified, and annotated text data for sentiment and topic • Utilized CVAT, LabelImg, and Remotasks web-based platforms for annotation • Maintained a labeling accuracy rate of over 99%

As a freelance data labeler, I performed annotation of images, videos, and texts to support AI and machine learning projects. My responsibilities included executing bounding box and polygon annotations for object detection and classification tasks. I validated labeled datasets for precision and followed structured guidelines to ensure consistent quality. • Labeled objects in diverse images using bounding boxes and polygons • Categorized, classified, and annotated text data for sentiment and topic • Utilized CVAT, LabelImg, and Remotasks web-based platforms for annotation • Maintained a labeling accuracy rate of over 99%

2024

Education

Work History