Shuntoria Reid

Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

Figure Eight

Google Cloud Vertex AI

HiveMind

Label Studio

OneForma

Remotasks

Scale AI

Toloka

Telus

Roboflow

Labelbox

Top Subject Matter

Ai Training

Data Labeling

Programming/Coding

Top Data Types

Computer Code Programming

Text

Video

Top Label Types

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Question Answering

Text Summarization

Freelancer Overview

I've got a lot of hands-on experience in data labeling and AI training. I'm good at training AI chatbots and doing careful labeling and annotation work. My job has involved making, organizing, and improving datasets to make sure the training data is top-notch. This is key to developing AI models that are accurate and work well. This work has sharpened my eye for detail and my ability to follow complex rules making sure the annotated data fits the specific needs of different AI projects. Besides data labeling, I've got a strong background in coding and software development. This helps me grasp the technical side of AI training and play a part in building more advanced complex models. My knack for prompt engineering and answering makes me better at working with AI systems and getting the most out of them. All these experiences and skills together make me a key player in the AI training data field. I can deliver top-notch results and help AI projects succeed.

Labeling Experience

Annotation / Labeling

OneformaTextText GenerationText Summarization

Description: During this project, I worked with an AI chatbot to enhance its filtering capabilities. My role involved tagging any offensive, discriminatory, or otherwise questionable material, following specific instructions to ensure accuracy and consistency. This work required careful attention to detail and sensitivity to the nature of the data. Purpose: The primary goal of this project was to improve the AI-powered chatbot’s ability to filter out discrimination, offensive content, and misinformation. By tagging and categorizing problematic content, I helped refine the chatbot's algorithms to better identify and manage such material, contributing to a safer and more respectful user interaction environment.

Description: During this project, I worked with an AI chatbot to enhance its filtering capabilities. My role involved tagging any offensive, discriminatory, or otherwise questionable material, following specific instructions to ensure accuracy and consistency. This work required careful attention to detail and sensitivity to the nature of the data. Purpose: The primary goal of this project was to improve the AI-powered chatbot’s ability to filter out discrimination, offensive content, and misinformation. By tagging and categorizing problematic content, I helped refine the chatbot's algorithms to better identify and manage such material, contributing to a safer and more respectful user interaction environment.

2024 - 2024

Audio Processing

Scale AIAudioTrackingData Collection

Project Description: Data labeling that utilizes sounds such as wildlife noises or speech. Tasks: Converting sounds into a format suitable for machine learning. Applications: Categorizing audio based on content, quality, or information. Using audio data to enhance systems that gather accurate data from sounds.

Project Description: Data labeling that utilizes sounds such as wildlife noises or speech. Tasks: Converting sounds into a format suitable for machine learning. Applications: Categorizing audio based on content, quality, or information. Using audio data to enhance systems that gather accurate data from sounds.

2023 - 2024

Computer Vision Freelancer

RoboflowImageBounding BoxObject Detection

Developed a custom computer vision model to detect and classify retail shelf products using Roboflow. Labeled and augmented image datasets with bounding boxes, trained YOLOv8 for object detection, and integrated model predictions into a reporting dashboard for product placement and inventory management.

Developed a custom computer vision model to detect and classify retail shelf products using Roboflow. Labeled and augmented image datasets with bounding boxes, trained YOLOv8 for object detection, and integrated model predictions into a reporting dashboard for product placement and inventory management.

2022 - 2024

Video Action & Object Annotation

LabelboxVideoBounding BoxSegmentation

I worked on a video data labeling project focused on identifying objects, actions, and motion patterns across short and long video clips. My responsibilities included frame-by-frame annotation, drawing accurate bounding boxes, tracking objects through movement, tagging activities, and labeling scene changes. I followed detailed guidelines, maintained label consistency, and aligned annotations to project QA standards. I also reviewed and corrected edge cases like motion blur, occlusion, and overlapping objects. This work strengthened my precision, attention to detail, and ability to deliver high-quality annotations at scale.

I worked on a video data labeling project focused on identifying objects, actions, and motion patterns across short and long video clips. My responsibilities included frame-by-frame annotation, drawing accurate bounding boxes, tracking objects through movement, tagging activities, and labeling scene changes. I followed detailed guidelines, maintained label consistency, and aligned annotations to project QA standards. I also reviewed and corrected edge cases like motion blur, occlusion, and overlapping objects. This work strengthened my precision, attention to detail, and ability to deliver high-quality annotations at scale.

2019 - 2024

Computer Vision

Scale AIImageBounding BoxClassification

Project Description: Data labeling in images and video using computer vision techniques. Tasks: Identifying key points, borders, pixels, and parts of an image to create datasets. Applications: Classifying images based on content, quality, or pixel data. Developing computer vision models for automatic image categorization.

Project Description: Data labeling in images and video using computer vision techniques. Tasks: Identifying key points, borders, pixels, and parts of an image to create datasets. Applications: Classifying images based on content, quality, or pixel data. Developing computer vision models for automatic image categorization.

2022 - 2022

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Education

Work History