Charles G.

Key Skills

Software

CVAT

Labelbox

Appen

Top Subject Matter

Computer Vision (CV) dataset annotation

autonomous vehicle/NLP data optimization support

Top Data Types

Image

Top Task Types

Segmentation

Freelancer Overview

AI Data Annotator / Specialist at Appen (2025–Present). Core strengths include CVAT and Labelbox. Education includes Bachelor of Commerce, Technical University of Kenya (2018). AI-training focus includes data types such as Image and labeling workflows including Segmentation.

Labeling Experience

AI Data Annotator / Specialist at Appen (2025–Present)

CVATImageSegmentation

Worked as an AI Data Annotator / Specialist producing high-quality labeled datasets for computer vision and NLP-related development. Labeled large-scale image and video data using object tracking and semantic segmentation workflows while collaborating with ML engineers to resolve ambiguous edge cases. Maintained QA standards and guideline compliance to reduce label noise and support downstream model optimization. • Annotated images/videos for object tracking and semantic segmentation. • Used CVAT and Labelbox to apply annotation guidelines consistently. • Partnered with ML engineers to clarify edge cases and refine label rules. • Met weekly throughput quotas while maintaining strict QA protocols.

2025 - Present

Education

Work History