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J

Jeremy Bower

AI Training Specialist/ Data Annotator

ExpertLabelboxCVAT

Key Skills

Software

LabelboxLabelbox
CVATCVAT

Top Subject Matter

Machine Learning
Computer Vision
Nlp/speech Domain Expertise

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Object Detection
Classification

Freelancer Overview

AI Training Specialist/ Data Annotator. Core strengths include Labelbox and CVAT. Education includes Bachelor of Science, University of Massachusetts Lowell (2015) and High School Diploma, Westford Academy (2011). AI-training focus includes data types such as Image and labeling workflows including Object Detection and Classification.

Expert

Labeling Experience

Labelbox

AI Training Specialist/ Data Annotator

LabelboxImageObject Detection
As an AI Training Specialist at Data AI Solutions, I performed image, video, and audio dataset labeling for machine learning and computer vision projects. My tasks included object detection using bounding boxes, segmentation, and polygons, as well as audio categorization and video object tracking. I ensured the high accuracy of training data and optimized datasets in collaboration with AI engineers. • Conducted labeling for object detection and segmentation on images and videos. • Categorized and annotated audio samples for speech and NLP systems. • Performed data quality checks and maintained annotation accuracy. • Utilized Labelbox, YOLO, CVAT, Roboflow, Supervisely, VIA, and AWS SageMaker Ground Truth.

As an AI Training Specialist at Data AI Solutions, I performed image, video, and audio dataset labeling for machine learning and computer vision projects. My tasks included object detection using bounding boxes, segmentation, and polygons, as well as audio categorization and video object tracking. I ensured the high accuracy of training data and optimized datasets in collaboration with AI engineers. • Conducted labeling for object detection and segmentation on images and videos. • Categorized and annotated audio samples for speech and NLP systems. • Performed data quality checks and maintained annotation accuracy. • Utilized Labelbox, YOLO, CVAT, Roboflow, Supervisely, VIA, and AWS SageMaker Ground Truth.

2023 - Present
CVAT

Subordinate Data Notationist

CVATImageClassification
As a Subordinate Data Notationist at TechVision AI, I contributed to the labeling of datasets for computer vision model training. My work encompassed image classification, segmentation, bounding box annotation, as well as video tracking tasks. I adhered strictly to annotation guidelines and supported improvements in the labeling process. • Completed detailed image and video annotations for computer vision datasets. • Edited and verified the accuracy of data labels for high-quality results. • Assisted with improving annotation workflows. • Used CVAT, Supervisely, Labelbox, and Roboflow for annotation tasks.

As a Subordinate Data Notationist at TechVision AI, I contributed to the labeling of datasets for computer vision model training. My work encompassed image classification, segmentation, bounding box annotation, as well as video tracking tasks. I adhered strictly to annotation guidelines and supported improvements in the labeling process. • Completed detailed image and video annotations for computer vision datasets. • Edited and verified the accuracy of data labels for high-quality results. • Assisted with improving annotation workflows. • Used CVAT, Supervisely, Labelbox, and Roboflow for annotation tasks.

2022 - 2023

Education

U

University of Massachusetts Lowell

Bachelor of Science, Information Technology

Bachelor of Science
2011 - 2015
W

Westford Academy

High School Diploma, General Studies

High School Diploma
2007 - 2011

Work History

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