Sharon Lagat

Key Skills

Software

Scale AI

Telus

Appen

Lionbridge

Top Subject Matter

Autonomous Vehicles

Robotics Domain Expertise

Natural Language Processing

Top Data Types

Image

Text

Top Task Types

Bounding Box

Segmentation

Classification

Freelancer Overview

Data Annotator / AI Trainer. Core strengths include Scale AI, Telus, and Appen. Education includes Bachelor of Science, University of Texas at Dallas (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Evaluation, and Rating.

Labeling Experience

Data Annotator / AI Trainer

Scale AIImageBounding Box

As a Data Annotator and AI Trainer at Scale AI, I performed 2D and 3D annotation for autonomous vehicle and robotics datasets. My responsibilities included LiDAR point cloud segmentation, 3D cuboid labeling, and frame-by-frame video object tracking and segmentation. I consistently maintained annotation accuracy and adhered to strict quality and production standards. • Executed 2D and 3D annotation for computer vision tasks. • Conducted LiDAR segmentation and 3D cuboid labeling for autonomous vehicles. • Performed video object tracking with segmentation. • Used CVAT, Labelbox, Supervisely, and V7 Labs for annotation tasks.

As a Data Annotator and AI Trainer at Scale AI, I performed 2D and 3D annotation for autonomous vehicle and robotics datasets. My responsibilities included LiDAR point cloud segmentation, 3D cuboid labeling, and frame-by-frame video object tracking and segmentation. I consistently maintained annotation accuracy and adhered to strict quality and production standards. • Executed 2D and 3D annotation for computer vision tasks. • Conducted LiDAR segmentation and 3D cuboid labeling for autonomous vehicles. • Performed video object tracking with segmentation. • Used CVAT, Labelbox, Supervisely, and V7 Labs for annotation tasks.

2026 - Present

AI Data Rater

TelusText

At TELUS AI as an AI Data Rater, I evaluated AI-generated content and search engine results for relevance, factual accuracy, and safety. My main role was to ensure the quality and safety of AI outputs for U.S. market contexts. I reviewed large volumes of data and provided detailed feedback to improve AI system performance. • Rated the quality of AI-generated responses. • Assessed content for accuracy and relevance. • Ensured adherence to safety and appropriateness guidelines. • Utilized Telus internal systems for data review.

At TELUS AI as an AI Data Rater, I evaluated AI-generated content and search engine results for relevance, factual accuracy, and safety. My main role was to ensure the quality and safety of AI outputs for U.S. market contexts. I reviewed large volumes of data and provided detailed feedback to improve AI system performance. • Rated the quality of AI-generated responses. • Assessed content for accuracy and relevance. • Ensured adherence to safety and appropriateness guidelines. • Utilized Telus internal systems for data review.

2024 - 2025

Computer Vision Data Contributor

LionbridgeImageClassification

As a Computer Vision Data Contributor at Lionbridge, I was responsible for annotating large image datasets for smart-device and retail AI applications. My tasks included performing data classification, tagging, and quality assurance for training sophisticated vision algorithms. I contributed to projects aimed at enhancing retail automation and device intelligence. • Labeled and classified images for AI systems. • Tagged key attributes in retail and smart-device contexts. • Conducted quality checks and data validation. • Used Lionbridge annotation platforms for contributing datasets.

As a Computer Vision Data Contributor at Lionbridge, I was responsible for annotating large image datasets for smart-device and retail AI applications. My tasks included performing data classification, tagging, and quality assurance for training sophisticated vision algorithms. I contributed to projects aimed at enhancing retail automation and device intelligence. • Labeled and classified images for AI systems. • Tagged key attributes in retail and smart-device contexts. • Conducted quality checks and data validation. • Used Lionbridge annotation platforms for contributing datasets.

2022 - 2023

Data Annotation Specialist

AppenImageSegmentation

During my tenure at Appen as a Data Annotation Specialist, I labeled image, video, and text datasets for developing machine learning models. The main focus was on performing semantic segmentation and bounding box annotation with consistent quality control. I worked on diverse datasets to train and validate AI systems in visual recognition tasks. • Labeled images and videos for computer vision models. • Performed semantic segmentation and bounding box labeling. • Ensured high annotation standards on multiple platforms. • Used Appen and CVAT for data labeling assignments.

During my tenure at Appen as a Data Annotation Specialist, I labeled image, video, and text datasets for developing machine learning models. The main focus was on performing semantic segmentation and bounding box annotation with consistent quality control. I worked on diverse datasets to train and validate AI systems in visual recognition tasks. • Labeled images and videos for computer vision models. • Performed semantic segmentation and bounding box labeling. • Ensured high annotation standards on multiple platforms. • Used Appen and CVAT for data labeling assignments.

2022 - 2023

Education

Work History