King'wa Bonface

Key Skills

Software

Labelbox

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Label Types

Bounding Box

Segmentation

Freelancer Overview

I am an experienced data annotator and AI training contributor with a strong background in supporting machine learning projects through high-quality data labeling and content evaluation. My hands-on experience includes text classification, image labeling, and content tagging using tools like Labelbox, Prodigy, and Amazon SageMaker Ground Truth. I have successfully completed multiple online projects on platforms such as Remotasks, Clickworker, Appen, and Upwork, consistently delivering accurate results while following strict guidelines and quality standards. My skills in data processing, validation, and quality control are complemented by my ability to quickly adapt to new tools and requirements. I am detail-oriented, reliable, and able to work independently or as part of a team, with a flexible schedule and immediate availability for both remote and physical roles.

Labeling Experience

Data Labeling Specialist | Freelance & Contract Roles

LabelboxImageBounding Box

I specialized in annotating large-scale image datasets for object detection and computer vision training. My work involved applying bounding boxes and polygons to thousands of images while ensuring compliance with detailed guidelines. I collaborated with AI teams to clarify annotation requirements and optimize model accuracy. • Labeled 50,000+ images for precise object detection • Used Labelbox, CVAT, V7, and Scale AI as primary annotation tools • Conducted quality assurance reviews and feedback on labeling consistency • Improved dataset accuracy for machine learning models by 15%

I specialized in annotating large-scale image datasets for object detection and computer vision training. My work involved applying bounding boxes and polygons to thousands of images while ensuring compliance with detailed guidelines. I collaborated with AI teams to clarify annotation requirements and optimize model accuracy. • Labeled 50,000+ images for precise object detection • Used Labelbox, CVAT, V7, and Scale AI as primary annotation tools • Conducted quality assurance reviews and feedback on labeling consistency • Improved dataset accuracy for machine learning models by 15%

2021

AI Training Data Annotator | Various Platforms

CVATVideoSegmentation

I executed video frame annotation for autonomous vehicle and action recognition projects. The work consisted of segmenting, tagging, and reviewing large collections of video data to enhance AI perception models. Daily tasks included meeting annotation targets and collaborating on process improvements. • Annotated video sequences for self-driving and action recognition datasets • Used CVAT, V7, and Supervisely for frame-by-frame labeling • Met high throughput and accuracy standards under tight deadlines • Contributed to pilot projects involving medical and aerial video imagery

I executed video frame annotation for autonomous vehicle and action recognition projects. The work consisted of segmenting, tagging, and reviewing large collections of video data to enhance AI perception models. Daily tasks included meeting annotation targets and collaborating on process improvements. • Annotated video sequences for self-driving and action recognition datasets • Used CVAT, V7, and Supervisely for frame-by-frame labeling • Met high throughput and accuracy standards under tight deadlines • Contributed to pilot projects involving medical and aerial video imagery

2020 - 2021

Education

Work History