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Bradley J.

Bradley J.

AI Trainer & Data Annotation Specialist

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI
CVATCVAT

Top Subject Matter

Computer Vision and Speech Recognition for Machine Learning
Autonomous Systems and AI Surveillance
Machine Learning Dataset Preparation

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Object DetectionObject Detection
TrackingTracking
ClassificationClassification

Freelancer Overview

AI Trainer & Data Annotation Specialist. Core strengths include Labelbox, Scale AI, and CVAT. Education includes Master of Science, Stanford University (2021) and Advanced Coursework, Carnegie Mellon University (2019). AI-training focus includes data types such as Image and labeling workflows including Object Detection, Tracking, and Classification.

Labeling Experience

Labelbox

AI Trainer & Data Annotation Specialist

LabelboxLabelboxImageImageObject DetectionObject Detection

I annotated image, video, and audio datasets for a variety of AI and machine learning projects. My tasks included object detection, segmentation, and tracking using popular platforms such as Labelbox and YOLO. I also performed rigorous quality assurance checks to ensure annotation accuracy and helped prepare datasets for advanced computer vision and speech recognition models. • Conducted labeling using modern tools across different data types. • Ensured high quality through detailed QA procedures. • Supported model training for both computer vision and speech recognition. • Worked remotely on projects for diverse use cases.

2023 - Present
Scale AI

Data Labeling Associate

Scale AIScale AIImageImageTrackingTracking

I labeled and classified datasets supporting autonomous systems and AI surveillance initiatives. My work involved meticulous object tracking on a frame-by-frame basis in video annotation workflows and audio labeling for NLP projects. I collaborated closely with remote AI teams to maintain annotation quality and meet tight deadlines. • Performed video annotation for object tracking and classification. • Labeled audio datasets for NLP and speech-to-text models. • Emphasized accuracy and consistency in labeling tasks. • Effectively contributed to remote project teams.

2022 - 2023
CVAT

Junior AI Annotation Specialist

CVATCVATImageImageClassificationClassification

As a Junior AI Annotation Specialist, I contributed to machine learning efforts through careful image classification and metadata tagging. I was responsible for organizing and validating datasets for training AI models, in addition to assisting senior annotators with more complex segmentation and verification tasks. My role supported the broader annotation workflow and ensured data integrity. • Executed image classification and labeling. • Managed dataset organization and workflow. • Supported segmentation and validation for team projects. • Contributed as part of a remote annotation team.

2021 - 2022

Education

S

Stanford University

Master of Science, Computer Science

Master of Science
2019 - 2021
C

Carnegie Mellon University

Advanced Coursework, Computer Science

Advanced Coursework
2018 - 2019