John Kimani

Key Skills

Software

Appen

Clickworker

CloudFactory

CrowdFlower

CVAT

Data Annotation Tech

Hasty

OneForma

Remotasks

SuperAnnotate

Toloka

V7 Labs

Scale AI

Labelbox

Top Subject Matter

NLP and Computer Vision

Autonomous Vehicles

Autonomous Driving

Top Data Types

3D Sensor

Audio

Image

Top Task Types

Bounding Box

Classification

Data Collection

Polygon

Segmentation

Object Detection

Freelancer Overview

Data Annotator. Core strengths include Labelbox and Remotasks. AI-training focus includes data types such as Image and labeling workflows including Object Detection, Bounding Box, and Segmentation.

Labeling Experience

Data Annotator

LabelboxImageObject Detection

As a Data Annotator at Africa AI, I annotated large-scale datasets for NLP and computer vision projects. The work involved precise labeling of images, text, and videos to support AI model development. I maintained up to 99% accuracy through rigorous quality assurance. • Labeled images, text, and videos for AI training. • Collaborated with data scientists to improve model performance. • Adhered strictly to project and annotation guidelines. • Conducted comprehensive QA checks to ensure consistency.

As a Data Annotator at Africa AI, I annotated large-scale datasets for NLP and computer vision projects. The work involved precise labeling of images, text, and videos to support AI model development. I maintained up to 99% accuracy through rigorous quality assurance. • Labeled images, text, and videos for AI training. • Collaborated with data scientists to improve model performance. • Adhered strictly to project and annotation guidelines. • Conducted comprehensive QA checks to ensure consistency.

2022 - 2023

3D Box Annotation

Scale AI3D SensorBounding BoxPolygon

Accurate annotation is a critical foundation for self-driving technology. By enabling vehicles to reliably “see” and understand their environment, this project contributes to safer, more efficient, and scalable autonomous mobility solutions.

Accurate annotation is a critical foundation for self-driving technology. By enabling vehicles to reliably “see” and understand their environment, this project contributes to safer, more efficient, and scalable autonomous mobility solutions.

2021 - 2023

Data Annotation Specialist

LabelboxImageBounding Box

During my tenure as a Data Annotation Specialist at Sama Source, I executed high-quality image annotations for autonomous vehicle datasets. My primary tasks included bounding box, segmentation, and object detection of vehicles, pedestrians, and road elements. Diligence resulted in annotation accuracy consistently above 95%. • Utilized Labelbox and CVAT as core annotation tools. • Focused on datasets enabling self-driving AI technologies. • Maintained strict adherence to quality guidelines. • Ensured large-scale data reliability for global clients.

During my tenure as a Data Annotation Specialist at Sama Source, I executed high-quality image annotations for autonomous vehicle datasets. My primary tasks included bounding box, segmentation, and object detection of vehicles, pedestrians, and road elements. Diligence resulted in annotation accuracy consistently above 95%. • Utilized Labelbox and CVAT as core annotation tools. • Focused on datasets enabling self-driving AI technologies. • Maintained strict adherence to quality guidelines. • Ensured large-scale data reliability for global clients.

2019 - 2020

Data Annotation Worker

RemotasksImageSegmentation

As a Data Annotation Worker at Remotasks, I completed 2D and 3D annotation tasks across diverse projects. My responsibilities included image segmentation, object detection, and LiDAR point cloud labeling. Foundational skills in annotation and QA were built during this period. • Focused on autonomous driving data, labeling vehicles and environments. • Performed detailed segmentation and object detection on images. • Gained practical experience with LiDAR datasets for AI models. • Ensured annotation consistency and accuracy through quality checks.

As a Data Annotation Worker at Remotasks, I completed 2D and 3D annotation tasks across diverse projects. My responsibilities included image segmentation, object detection, and LiDAR point cloud labeling. Foundational skills in annotation and QA were built during this period. • Focused on autonomous driving data, labeling vehicles and environments. • Performed detailed segmentation and object detection on images. • Gained practical experience with LiDAR datasets for AI models. • Ensured annotation consistency and accuracy through quality checks.

2017 - 2018

Education

Work History