Dawn Hyatt

Key Skills

Software

Telus

Other

Appen

Clickworker

Data Annotation Tech

Top Subject Matter

Search Engine/Social Media Content

Evaluating AI generated responses

Annotating images/videos

Top Data Types

Text

Image

Video

Top Task Types

Bounding Box

Object Detection

Evaluation Rating

Data Collection

Freelancer Overview

I have hands-on experience working on AI training data projects where accuracy, clarity, and consistency really matter. My work has included reviewing model responses to check for factual correctness, spotting subtle mistakes, and applying detailed guidelines to rate overall quality. I’m comfortable working with complex instructions and making judgment calls on nuanced prompts, while still staying consistent across large sets of data. I’ve also spent time rewriting responses so they sound more natural and professional without losing their original meaning, helping ensure the final output feels useful and realistic for real-world users. One of the things that sets me apart is my attention to detail and ability to stay focused even when tasks require careful, repetitive review. I understand how even small labeling differences can affect how well an AI model learns, so I take accuracy seriously while still working efficiently. I’m adaptable when guidelines change, and I enjoy problem-solving when I come across edge cases or unclear scenarios. Overall, I aim to produce high-quality work that helps improve how AI systems understand and respond to people in a natural, helpful way.

Labeling Experience

Data Annotation

ImageObject Detection

In this project, I worked on image object detection to help AI models accurately identify and locate objects within images. My responsibilities included labeling objects by drawing bounding boxes, tagging them with the correct categories, and ensuring that each annotation was precise, even for partially visible, overlapping, or unusually shaped objects. I followed detailed guidelines to maintain consistency across large datasets, focusing on both accuracy and completeness of annotations.

In this project, I worked on image object detection to help AI models accurately identify and locate objects within images. My responsibilities included labeling objects by drawing bounding boxes, tagging them with the correct categories, and ensuring that each annotation was precise, even for partially visible, overlapping, or unusually shaped objects. I followed detailed guidelines to maintain consistency across large datasets, focusing on both accuracy and completeness of annotations.

2025 - 2026

Data Annotation

AudioEvaluation Rating

In this project, I was responsible for evaluating and rating audio clips to ensure AI systems could accurately process and understand speech and sound. My work involved carefully listening to recordings and assessing aspects such as clarity, pronunciation, tone, background noise, and alignment with prompts or scripts. I identified errors, inconsistencies, or distortions, and provided structured ratings according to detailed guidelines to maintain consistency and reliability across the dataset.

In this project, I was responsible for evaluating and rating audio clips to ensure AI systems could accurately process and understand speech and sound. My work involved carefully listening to recordings and assessing aspects such as clarity, pronunciation, tone, background noise, and alignment with prompts or scripts. I identified errors, inconsistencies, or distortions, and provided structured ratings according to detailed guidelines to maintain consistency and reliability across the dataset.

2025 - 2026

Data Annotation

VideoEvaluation Rating

In this project, I worked on evaluating and rating videos to help improve AI systems’ understanding of visual content. My role involved carefully reviewing video clips and comparing them to reference material, assessing factors like clarity, accuracy, continuity, object presence, and alignment with the intended prompt or scenario. I provided detailed ratings based on predefined criteria, noting subtle differences in quality, missing elements, or inconsistencies that could impact model performance.

In this project, I worked on evaluating and rating videos to help improve AI systems’ understanding of visual content. My role involved carefully reviewing video clips and comparing them to reference material, assessing factors like clarity, accuracy, continuity, object presence, and alignment with the intended prompt or scenario. I provided detailed ratings based on predefined criteria, noting subtle differences in quality, missing elements, or inconsistencies that could impact model performance.

2025 - 2026

Data Annotation

ImageBounding Box

n this project, I worked on image bounding box annotation, where the goal was to accurately identify and outline objects within images so AI models can learn to recognize them. Using annotation tools, I carefully drew bounding boxes around specific items such as people, vehicles, animals, and everyday objects, ensuring each box was tight, precise, and aligned with project guidelines. I paid close attention to details like partially visible objects, overlapping items, and objects at different angles to maintain consistency and accuracy across the dataset.

n this project, I worked on image bounding box annotation, where the goal was to accurately identify and outline objects within images so AI models can learn to recognize them. Using annotation tools, I carefully drew bounding boxes around specific items such as people, vehicles, animals, and everyday objects, ensuring each box was tight, precise, and aligned with project guidelines. I paid close attention to details like partially visible objects, overlapping items, and objects at different angles to maintain consistency and accuracy across the dataset.

2025 - 2026

Search Engine Evaluator at Telus International

TelusText

As a Search Engine Evaluator, I evaluated the accuracy and relevance of search results in response to user queries. I conducted quality assessments of web content to determine if it met information needs and search guidelines. I contributed feedback to improve the performance and relevancy of search engine algorithms. • Assessed user intent and matched results accordingly. • Analyzed and rated website content and search queries. • Identified and reported anomalous or low-quality algorithm behavior. • Supported search engine optimization with regular evaluations.

As a Search Engine Evaluator, I evaluated the accuracy and relevance of search results in response to user queries. I conducted quality assessments of web content to determine if it met information needs and search guidelines. I contributed feedback to improve the performance and relevancy of search engine algorithms. • Assessed user intent and matched results accordingly. • Analyzed and rated website content and search queries. • Identified and reported anomalous or low-quality algorithm behavior. • Supported search engine optimization with regular evaluations.

2022 - 2024

Education

Work History