Key Skills

Software

CVAT

Labelbox

Roboflow

Scale AI

Other

Top Subject Matter

Autonomous Vehicles / Computer Vision

Computer Vision / Facial Recognition / Pose Estimation

Computer Vision / NLP / Medical Imaging

Top Data Types

Image

Video

Text

Document

Top Task Types

Segmentation

Bounding Box

Classification

Data Collection

Freelancer Overview

Senior Data Annotator, Atlas AI Platform. Core strengths include CVAT, Labelbox, and Roboflow. Education includes Bachelor of Business Administration, Maseno University (2025). AI-training focus includes data types such as Image, Video, and Geospatial and labeling workflows including Segmentation, Bounding Box, and Classification.

Labeling Experience

Senior Data Annotator, Atlas AI Platform

CVATImageSegmentation

Executed high-accuracy image and video annotation for autonomous vehicle datasets. Specialized in 3D bounding box and LiDAR point cloud labeling supporting advanced perception AI model training. Maintained annotation accuracy above 98% while refining annotation guidelines with QA teams. • Image and video object detection using bounding boxes and polygons • 3D object annotation and LiDAR segmentation tasks • Workflow improvements for consistency and quality • Utilized multiple leading annotation platforms

Executed high-accuracy image and video annotation for autonomous vehicle datasets. Specialized in 3D bounding box and LiDAR point cloud labeling supporting advanced perception AI model training. Maintained annotation accuracy above 98% while refining annotation guidelines with QA teams. • Image and video object detection using bounding boxes and polygons • 3D object annotation and LiDAR segmentation tasks • Workflow improvements for consistency and quality • Utilized multiple leading annotation platforms

2023 - Present

AI Data Contributor, Silencio Network

OtherData Collection

Contributed to decentralized data collection and annotation for environmental intelligence and AI noise-mapping models. Validated and quality-checked geospatial data submissions ensuring dataset integrity. Supported distributed annotation workflows for environmental monitoring projects. • Geospatial data annotation and validation • Supported AI-driven environmental noise-mapping • Ensured dataset integrity and quality • Participated in distributed, collaborative data work

Contributed to decentralized data collection and annotation for environmental intelligence and AI noise-mapping models. Validated and quality-checked geospatial data submissions ensuring dataset integrity. Supported distributed annotation workflows for environmental monitoring projects. • Geospatial data annotation and validation • Supported AI-driven environmental noise-mapping • Ensured dataset integrity and quality • Participated in distributed, collaborative data work

2021 - Present

Data Annotation Specialist, Bully AI

CVATVideoBounding Box

Annotated multi-class video datasets for facial recognition, pose estimation, and activity detection pipelines. Created bounding box and keypoint labels to train deep learning classifiers. Improved annotation workflows and efficiency through process refinements. • Multi-class bounding box and keypoint annotation on video corpora • Supported facial recognition and activity detection models • Reduced average labeling time by 15% • Ensured high inter-annotator agreement and quality

Annotated multi-class video datasets for facial recognition, pose estimation, and activity detection pipelines. Created bounding box and keypoint labels to train deep learning classifiers. Improved annotation workflows and efficiency through process refinements. • Multi-class bounding box and keypoint annotation on video corpora • Supported facial recognition and activity detection models • Reduced average labeling time by 15% • Ensured high inter-annotator agreement and quality

2022 - 2023

Data Annotator, SHAIP

CVATImageClassification

Executed image classification, entity tagging, and named-entity recognition tasks for both NLP and computer vision projects. Annotated medical imaging datasets with adherence to privacy and compliance protocols. Delivered structured training data contributing to multiple successful model deployments. • Image and text entity annotation • Named-entity recognition for NLP data • Medical image annotation with compliance focus • Supported delivery of robust training datasets

Executed image classification, entity tagging, and named-entity recognition tasks for both NLP and computer vision projects. Annotated medical imaging datasets with adherence to privacy and compliance protocols. Delivered structured training data contributing to multiple successful model deployments. • Image and text entity annotation • Named-entity recognition for NLP data • Medical image annotation with compliance focus • Supported delivery of robust training datasets

2021 - 2022

Education

Work History