Charles Wahome

Key Skills

Software

Other

CVAT

Labelbox

CloudFactory

Mercor

Mindrift

Remotasks

Scale AI

SuperAnnotate

Top Subject Matter

Financial Documents/Invoices

Game Video Data (Supercell games)

Sports Images/Video Frames

Top Data Types

Document

Video

Image

Text

Top Task Types

Classification

Action Recognition

Point/Key Point

Bounding Box

Segmentation

Polygon

Transcription

Prompt + Response Writing (SFT)

Text Summarization

Text Generation

Object Detection

Data Collection

Freelancer Overview

Data Specialist - AI Document Processing and Labeling. Core strengths include CloudFactory, Other, and CVAT. Education includes Bachelor of Science, Technical University of Kenya (2022) and High School Diploma, Nanyuki High School (2015). AI-training focus includes data types such as Document, Video, and Image and labeling workflows including Classification, Action Recognition, and Point.

Labeling Experience

Data Specialist - AI Document Processing and Labeling

CloudfactoryDocumentClassification

As a Data Specialist at Cloudfactory Kenya, I extracted, classified, and verified financial and invoice data to support AI and document processing systems. My role emphasized high accuracy, compliance, and effective handling of large volumes of financial documents for machine learning workflows. Quality assurance, error resolution, and collaboration with QA teams were integral parts of my work. • Extracted and labeled key document entities such as invoice numbers and payment details. • Ensured thorough data verification and correct document classification practices. • Engaged in process improvement and workflow optimization with QA leads. • Maintained productivity and accuracy under strict deadlines and performance targets.

As a Data Specialist at Cloudfactory Kenya, I extracted, classified, and verified financial and invoice data to support AI and document processing systems. My role emphasized high accuracy, compliance, and effective handling of large volumes of financial documents for machine learning workflows. Quality assurance, error resolution, and collaboration with QA teams were integral parts of my work. • Extracted and labeled key document entities such as invoice numbers and payment details. • Ensured thorough data verification and correct document classification practices. • Engaged in process improvement and workflow optimization with QA leads. • Maintained productivity and accuracy under strict deadlines and performance targets.

2024 - 2026

Supercell AI Video Annotator - Video & Gameplay Labeling

OtherVideoAction Recognition

As a Supercell AI Video Annotator on a short term project, I labeled and annotated video gameplay data for use in training behavior recognition and computer vision models. Responsibilities included ensuring high data quality through feedback loops and preparing clean datasets for machine learning. This work supported the development of AI in Supercell games by improving action and object recognition capabilities. • Annotated and labeled video data from games such as Clash of Clans and Brawl Stars. • Implemented quality checks and integrated team feedback on annotations. • Helped optimize training datasets for improved AI performance. • Supported the computer vision pipeline for gaming analytics.

As a Supercell AI Video Annotator on a short term project, I labeled and annotated video gameplay data for use in training behavior recognition and computer vision models. Responsibilities included ensuring high data quality through feedback loops and preparing clean datasets for machine learning. This work supported the development of AI in Supercell games by improving action and object recognition capabilities. • Annotated and labeled video data from games such as Clash of Clans and Brawl Stars. • Implemented quality checks and integrated team feedback on annotations. • Helped optimize training datasets for improved AI performance. • Supported the computer vision pipeline for gaming analytics.

2023 - 2024

Image Annotation - Sports AI Model Training

CloudfactoryImagePoint Key Point

During my image annotation work with Cloudfactory Kenya for the Relometricks project, I labeled sports images and video frames for athlete tracking. My main task involved identifying keypoints and player positions to train AI models for sports performance analysis. Consistency, delivery timeliness, and cross-team collaboration marked this role. • Annotated sports images for player movement recognition by AI. • Labeled key player points and positions in frames for event/action identification. • Coordinated with technical teams to validate label accuracy and coverage. • Ensured consistent dataset standards and high-quality outputs.

During my image annotation work with Cloudfactory Kenya for the Relometricks project, I labeled sports images and video frames for athlete tracking. My main task involved identifying keypoints and player positions to train AI models for sports performance analysis. Consistency, delivery timeliness, and cross-team collaboration marked this role. • Annotated sports images for player movement recognition by AI. • Labeled key player points and positions in frames for event/action identification. • Coordinated with technical teams to validate label accuracy and coverage. • Ensured consistent dataset standards and high-quality outputs.

2021 - 2023

VisionScale AI Image Annotator

CVATImageBounding Box

As a VisionScale AI Image Annotator, I labeled and categorized a high volume of image data for object detection and classification model training. The work required use of annotation tools like CVAT and focused on precision bounding boxes, segmentation, and QA. My contributions strengthened object recognition models through consistent labeling and workflow improvements. • Labeled objects in thousands of images using bounding boxes and polygons. • Utilized CVAT for annotation and project collaboration. • Performed quality assurance and dataset refinement to meet model standards. • Enhanced annotation workflows with AI-assisted techniques.

As a VisionScale AI Image Annotator, I labeled and categorized a high volume of image data for object detection and classification model training. The work required use of annotation tools like CVAT and focused on precision bounding boxes, segmentation, and QA. My contributions strengthened object recognition models through consistent labeling and workflow improvements. • Labeled objects in thousands of images using bounding boxes and polygons. • Utilized CVAT for annotation and project collaboration. • Performed quality assurance and dataset refinement to meet model standards. • Enhanced annotation workflows with AI-assisted techniques.

2020 - 2021

Education

Work History