Amelia Padgett

Key Skills

Software

Appen

Lionbridge

Top Subject Matter

Computer Vision

Audio Analysis

Vision Data

Top Data Types

Image

Top Task Types

Object Detection

Freelancer Overview

AI Training Specialist. Core strengths include Appen and Lionbridge. Education includes Bachelor of Science, University of California, Berkeley (2019) and High School Diploma, Springfield High School (2015). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

Labeling Experience

AI Training Specialist

AppenImageObject Detection

As an AI Training Specialist at Appen, I labeled and annotated images, videos, and audio for machine learning models. My responsibilities included object tracking and frame-by-frame annotation to prepare high-quality datasets for AI pipelines. I used industry-standard tools and focused on delivering validated, production-ready data. • Annotated image, video, and audio datasets for AI training purposes. • Employed Labelbox, CVAT, and YOLO for efficient and accurate data labeling. • Performed object tracking and detailed validation on data to assure accuracy. • Ensured that datasets met quality benchmarks before release.

As an AI Training Specialist at Appen, I labeled and annotated images, videos, and audio for machine learning models. My responsibilities included object tracking and frame-by-frame annotation to prepare high-quality datasets for AI pipelines. I used industry-standard tools and focused on delivering validated, production-ready data. • Annotated image, video, and audio datasets for AI training purposes. • Employed Labelbox, CVAT, and YOLO for efficient and accurate data labeling. • Performed object tracking and detailed validation on data to assure accuracy. • Ensured that datasets met quality benchmarks before release.

2023 - Present

AI Data Labelling & Annotation Specialist -Computer Vision & Audio Projects

ImageBounding Box

Managed and executed end-to-end data labeling and annotation for multiple AI training projects, focusing on images, videos, and audio datasets. Tasks included bounding box and polygon labeling for object detection, frame-by-frame tracking for videos, and time-aligned audio transcription. Ensured high-quality, consistent datasets by following project guidelines, reviewing annotations, and correcting errors. Collaborated with AI engineers to tailor annotations for computer vision and audio recognition models. Projects handled large-scale datasets with tens of thousands of samples.

Managed and executed end-to-end data labeling and annotation for multiple AI training projects, focusing on images, videos, and audio datasets. Tasks included bounding box and polygon labeling for object detection, frame-by-frame tracking for videos, and time-aligned audio transcription. Ensured high-quality, consistent datasets by following project guidelines, reviewing annotations, and correcting errors. Collaborated with AI engineers to tailor annotations for computer vision and audio recognition models. Projects handled large-scale datasets with tens of thousands of samples.

2021 - 2024

Data Annotation Specialist

LionbridgeImageObject Detection

As a Data Annotation Specialist at Lionbridge AI, I performed detailed labeling of images, videos, and audio for use in vision and audio AI models. I collaborated with AI engineers to follow dataset requirements and quality standards. I monitored annotation progress and compiled quality metrics for reporting purposes. • Labeled vision and audio datasets for machine learning model development. • Used company platforms and tools to ensure consistency and accuracy in annotations. • Assisted engineering teams by clarifying data guidelines and feedback on annotations. • Tracked project progress and addressed potential data quality issues.

As a Data Annotation Specialist at Lionbridge AI, I performed detailed labeling of images, videos, and audio for use in vision and audio AI models. I collaborated with AI engineers to follow dataset requirements and quality standards. I monitored annotation progress and compiled quality metrics for reporting purposes. • Labeled vision and audio datasets for machine learning model development. • Used company platforms and tools to ensure consistency and accuracy in annotations. • Assisted engineering teams by clarifying data guidelines and feedback on annotations. • Tracked project progress and addressed potential data quality issues.

2021 - 2023

Education

Work History