Esther Kuria

Key Skills

Software

Sama

Labelbox

CVAT

Scale AI

Label Studio

Top Subject Matter

AI model training datasets

computer vision/NLP

Computer vision

Top Data Types

Image

3D Sensor

Text

Document

Top Task Types

Classification

Segmentation

Freelancer Overview

Associate (Data QA & Annotation). Core strengths include Sama, Labelbox, and Avride tool. Education includes Diploma in Automotive Engineering, N/A (2023). AI-training focus includes data types such as Image and 3D Sensor and labeling workflows including Classification and Segmentation.

Labeling Experience

Biometric Data Annotator (Worldcoin IRIS)

Label Studio3D SensorBounding Box

In the Worldcoin IRIS Annotation Project, I labeled biometric eye and iris datasets for use in AI-powered identity verification systems. I ensured annotation accuracy and compliance with data security requirements. My efforts contributed to robust and scalable AI-based biometric identification. • Labeled detailed biometric image datasets • Ensured compliance with privacy and security guidelines • Supported AI training for identity verification • Conducted QA checks on annotated data

In the Worldcoin IRIS Annotation Project, I labeled biometric eye and iris datasets for use in AI-powered identity verification systems. I ensured annotation accuracy and compliance with data security requirements. My efforts contributed to robust and scalable AI-based biometric identification. • Labeled detailed biometric image datasets • Ensured compliance with privacy and security guidelines • Supported AI training for identity verification • Conducted QA checks on annotated data

2023 - Present

Autonomous Vehicle Data Annotator

Scale AI3D SensorClassification

On various Autonomous Vehicle Annotation Projects, I annotated vehicles, pedestrians, and road objects for use in safety-critical AI applications. I worked to improve detection accuracy through comprehensive and precise object labeling. I collaborated closely with other project stakeholders to optimize the annotation process. • Labeled multiple object classes in real-world driving scenarios • Supported enhancement of AI detection model performance • Maintained rigorous quality and compliance standards • Adapted workflows to dynamic project requirements

On various Autonomous Vehicle Annotation Projects, I annotated vehicles, pedestrians, and road objects for use in safety-critical AI applications. I worked to improve detection accuracy through comprehensive and precise object labeling. I collaborated closely with other project stakeholders to optimize the annotation process. • Labeled multiple object classes in real-world driving scenarios • Supported enhancement of AI detection model performance • Maintained rigorous quality and compliance standards • Adapted workflows to dynamic project requirements

2024 - Present

3D LiDAR Annotation Specialist (AVRide Project)

3D SensorSegmentation

As a specialist in the AVRide 3D LiDAR Annotation Project, I performed advanced segmentation and cuboid annotation of 3D sensor data for autonomous driving applications. I delivered highly accurate labeled datasets for machine learning system training. My focus was on maintaining precision and detailed object annotation throughout the process. • Executed complex 3D segmentation and cuboid labeling • Ensured high-precision data for sensor-driven AI models • Followed strict annotation guidelines and objectives • Supported data pipeline improvements for AI projects

As a specialist in the AVRide 3D LiDAR Annotation Project, I performed advanced segmentation and cuboid annotation of 3D sensor data for autonomous driving applications. I delivered highly accurate labeled datasets for machine learning system training. My focus was on maintaining precision and detailed object annotation throughout the process. • Executed complex 3D segmentation and cuboid labeling • Ensured high-precision data for sensor-driven AI models • Followed strict annotation guidelines and objectives • Supported data pipeline improvements for AI projects

2024 - Present

Associate (Data QA & Annotation)

SamaImageClassification

As an Associate at SamaSource, I performed data cleaning, validation, and quality assurance for AI training datasets. I developed test cases, analyzed annotation outputs, and optimized workflows for efficiency. I supported automation testing and ensured data quality compliance at all stages. • Performed comprehensive data validation and QA • Analyzed model accuracy to iteratively improve datasets • Maintained annotation quality metrics and project reports • Ensured best practices in all data labeling workflows

As an Associate at SamaSource, I performed data cleaning, validation, and quality assurance for AI training datasets. I developed test cases, analyzed annotation outputs, and optimized workflows for efficiency. I supported automation testing and ensured data quality compliance at all stages. • Performed comprehensive data validation and QA • Analyzed model accuracy to iteratively improve datasets • Maintained annotation quality metrics and project reports • Ensured best practices in all data labeling workflows

2019 - Present

Image Segmentation Annotator (Prenav Project)

CVATImageSegmentation

During the Prenav Image Segmentation Project, I segmented images using bounding boxes and polygons for structural analysis. My contributions enabled the creation of precise and annotated visual datasets for modeling. I also ensured data consistency and adherence to annotation standards. • Used bounding boxes and polygons for detailed segmentation • Maintained annotation accuracy for structural image datasets • Provided consistent data validation and QC checks • Assisted with guideline refinements as needed

During the Prenav Image Segmentation Project, I segmented images using bounding boxes and polygons for structural analysis. My contributions enabled the creation of precise and annotated visual datasets for modeling. I also ensured data consistency and adherence to annotation standards. • Used bounding boxes and polygons for detailed segmentation • Maintained annotation accuracy for structural image datasets • Provided consistent data validation and QC checks • Assisted with guideline refinements as needed

2021 - 2021

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Education

Work History