Charles W.

Key Skills

Software

Other

CloudFactory

CVAT

Top Subject Matter

Gaming gameplay videos (Supercell titles such as Clash of Clans, Brawl Stars, Hay Day)

Sports analytics

athlete tracking

Top Data Types

Video

Image

Top Task Types

Action Recognition

Point/Key Point

Segmentation

Freelancer Overview

Super-cell AI Video Annotator (Short term project: Image and Video annotation). Core strengths include Other, CloudFactory, and CVAT. Education includes Bachelor of Engineering, Technical University of Kenya (2022) and High School Diploma, Nanyuki High School (2015). AI-training focus includes data types such as Video and Image and labeling workflows including Action Recognition, Point, and Key Point.

Labeling Experience

Super-cell AI Video Annotator (Short term project: Image and Video annotation)

OtherVideoAction Recognition

Annotated and labeled gameplay videos and visual datasets to support training of computer vision and behavior recognition models. Applied project guidelines to ensure consistent labeling quality across video data. Participated in data cleanup preparation for subsequent testing and machine learning workflows. • Labeled gameplay videos for CV and behavior recognition training • Performed quality assurance checks and feedback integration • Prepared clean, structured datasets for model optimization • Supported testing and machine learning pipeline readiness

2025 - 2025

VisionScale AI Image Annotator (Remote)

CVATImageSegmentation

Labeled and categorized thousands of images to train machine learning and computer vision models for object detection and classification. Used CVAT to create bounding boxes, polygons, and segmentation masks according to project requirements. Performed quality assurance reviews and refined labeling standards to meet specifications and improve dataset readiness. • Created bounding boxes, polygons, and segmentation masks in CVAT • Conducted QA checks and labeling standard refinements • Supported object detection and classification training • Improved labeling workflows using AI-assisted tools

2020 - 2023

Image Annotation (Cloudfactory Kenya / Relometricks sports image annotation)

CloudFactoryImagePoint/Key Point

Annotated sports images and video frames to support AI models for athlete tracking and performance analysis. Labeled keypoints, player positions, and movements to enable recognition of sports actions and game dynamics. Ensured labeling accuracy, consistency, and adherence to project guidelines across large-scale datasets. • Labeled keypoints for player and action understanding • Tagged player positions and movements on sports frames • Coordinated with AI/data teams for consistency checks • Met delivery deadlines while following project instructions

Not specified

Education

Work History