Hillario Wekesa

Key Skills

Software

Scale AI

Clickworker

Appen

Top Subject Matter

Computer Vision

Autonomous Vehicles

Surveillance Domain Expertise

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Classification

Entity Ner Classification

Segmentation

Freelancer Overview

Senior Data Labelling Specialist. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Appen. Education includes Master of Science, University of Nairobi (2022) and Bachelor of Science, Moi University (2019). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Classification.

Labeling Experience

Senior Data Labelling Specialist

Scale AIImageBounding Box

As Senior Data Labelling Specialist at AI Data Solutions Ltd, I led annotation projects for computer vision datasets focused on object detection, segmentation, and keypoint labeling. I was responsible for reviewing and quality-checking annotated data to uphold project accuracy above 98%. My work included complex video annotation tasks such as frame-by-frame bounding box tracking and activity recognition labeling. • Led and managed a team of annotators on various annotation platforms. • Delivered high-quality, project-ready datasets through adherence to annotation guidelines. • Trained and mentored junior staff in annotation tools and quality standards. • Collaborated closely with ML engineers and project stakeholders to meet deliverables.

As Senior Data Labelling Specialist at AI Data Solutions Ltd, I led annotation projects for computer vision datasets focused on object detection, segmentation, and keypoint labeling. I was responsible for reviewing and quality-checking annotated data to uphold project accuracy above 98%. My work included complex video annotation tasks such as frame-by-frame bounding box tracking and activity recognition labeling. • Led and managed a team of annotators on various annotation platforms. • Delivered high-quality, project-ready datasets through adherence to annotation guidelines. • Trained and mentored junior staff in annotation tools and quality standards. • Collaborated closely with ML engineers and project stakeholders to meet deliverables.

2023 - Present

Data Labelling Analyst

AppenImageClassification

As a Data Labelling Analyst at DataTag Technologies, I performed image classification, semantic segmentation, and text categorization tasks for NLP and computer vision projects. My work contributed to training AI models for autonomous vehicles and surveillance systems. I maintained detailed annotation logs and helped develop team guidelines for consistency. • Annotated over 50,000 images for various AI use cases. • Provided quality assurance through log maintenance and data reviews. • Assisted in guideline development to improve annotation team consistency. • Utilized multiple annotation platforms including Appen and Labelbox.

As a Data Labelling Analyst at DataTag Technologies, I performed image classification, semantic segmentation, and text categorization tasks for NLP and computer vision projects. My work contributed to training AI models for autonomous vehicles and surveillance systems. I maintained detailed annotation logs and helped develop team guidelines for consistency. • Annotated over 50,000 images for various AI use cases. • Provided quality assurance through log maintenance and data reviews. • Assisted in guideline development to improve annotation team consistency. • Utilized multiple annotation platforms including Appen and Labelbox.

2022 - 2023

Education

Work History