Lucas Kamau

Key Skills

Software

CVAT

Toloka

Sama

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

3D Sensor

Top Label Types

Bounding Box

Polygon

Entity Ner Classification

Segmentation

Freelancer Overview

I am an enthusiastic data annotation and quality assurance professional with hands-on experience in image labeling, annotation review, and dataset refinement for AI projects. I have worked extensively with tools like CVAT and Labelbox, ensuring high accuracy and consistency in 2D image annotation tasks. My background includes reviewing and validating annotation work, providing actionable feedback to teams, and maintaining strict quality control standards across visual datasets. I am skilled in organizing and categorizing content, implementing quality improvements, and collaborating in multilingual environments. My experience spans both independent projects and collaborative roles, where I have contributed to optimizing data quality for AI training in computer vision and content management domains.

Labeling Experience

Data Annotator

Sama3D SensorSegmentation

Currently working as a Data Annotator at Sama, contributing to large-scale autonomous driving datasets through pixel-level semantic segmentation and 3D annotation. Progressed from full vehicle annotation to human and animal labeling in both 2D and 3D environments. Currently perform full-scene annotation using 3D bounding boxes (cuboids) for vehicles, pedestrians, animals, and other objects of interest, combined with semantic segmentation of defined regions of interest. Consistently meet strict quality benchmarks through audits, reviews, and performance evaluations.

Currently working as a Data Annotator at Sama, contributing to large-scale autonomous driving datasets through pixel-level semantic segmentation and 3D annotation. Progressed from full vehicle annotation to human and animal labeling in both 2D and 3D environments. Currently perform full-scene annotation using 3D bounding boxes (cuboids) for vehicles, pedestrians, animals, and other objects of interest, combined with semantic segmentation of defined regions of interest. Consistently meet strict quality benchmarks through audits, reviews, and performance evaluations.

2023

Data Labeler

CVATImageBounding BoxPolygon

Annotated agricultural imagery using bounding boxes and polygon segmentation in CVAT to support computer vision model training. Labeled crops, weeds, soil regions, and equipment across diverse field conditions. Maintained high accuracy by following strict annotation guidelines and participating in quality reviews and audits.

Annotated agricultural imagery using bounding boxes and polygon segmentation in CVAT to support computer vision model training. Labeled crops, weeds, soil regions, and equipment across diverse field conditions. Maintained high accuracy by following strict annotation guidelines and participating in quality reviews and audits.

2024 - 2024

Freelancer

TolokaTextEntity Ner Classification

Worked as a freelance annotator on Toloka, performing Named Entity Recognition (NER) and text classification tasks within the retail and customer experience domain. Labeled entities such as product names, brands, locations, pricing, and customer feedback categories according to detailed guidelines. Maintained high accuracy and consistency through adherence to quality standards and regular review processes.

Worked as a freelance annotator on Toloka, performing Named Entity Recognition (NER) and text classification tasks within the retail and customer experience domain. Labeled entities such as product names, brands, locations, pricing, and customer feedback categories according to detailed guidelines. Maintained high accuracy and consistency through adherence to quality standards and regular review processes.

2023 - 2024

Education

Work History