Jonathan Woodruff

Key Skills

Software

Labelbox

CVAT

Roboflow

Top Subject Matter

Computer Vision

Nlp Domain Expertise

Audio Processing

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Entity Ner Classification

Classification

Segmentation

Freelancer Overview

AI Training & Data Annotation Specialist. Core strengths include Labelbox, CVAT, and Roboflow. Education includes Bachelor of Science, New York University (2021). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Entity (NER) Classification, and Classification.

Labeling Experience

AI Training & Data Annotation Specialist

LabelboxImageSegmentation

As an AI Training & Data Annotation Specialist, I supported machine learning teams by preparing and labeling datasets for computer vision and NLP model training. My primary focus was on annotating images, video frames, and audio recordings using a variety of advanced labeling techniques. I ensured high-quality annotations and contributed significantly to model performance improvements. • Created bounding boxes, polygons, and segmentation masks for object detection models. • Performed object tracking across video frames for video intelligence models. • Conducted dataset validation and error detection to maintain high accuracy. • Used tools like Labelbox, Roboflow, and CVAT for diverse annotation projects.

As an AI Training & Data Annotation Specialist, I supported machine learning teams by preparing and labeling datasets for computer vision and NLP model training. My primary focus was on annotating images, video frames, and audio recordings using a variety of advanced labeling techniques. I ensured high-quality annotations and contributed significantly to model performance improvements. • Created bounding boxes, polygons, and segmentation masks for object detection models. • Performed object tracking across video frames for video intelligence models. • Conducted dataset validation and error detection to maintain high accuracy. • Used tools like Labelbox, Roboflow, and CVAT for diverse annotation projects.

2023 - Present

Data Annotation Specialist

LabelboxTextEntity Ner Classification

As a Data Annotation Specialist, I worked closely with machine learning teams to label and structure datasets used for training AI models. My main responsibilities included annotating text, images, and audio data, as well as performing sentiment and intent classification. I contributed to speech-to-text transcription and collaborated with QA teams to ensure dataset quality. • Annotated text data for sentiment analysis and intent classification tasks. • Performed speech-to-text transcription for speech recognition models. • Utilized annotation platforms to organize, review, and export labeled datasets. • Ensured annotation quality in collaboration with QA reviewers.

As a Data Annotation Specialist, I worked closely with machine learning teams to label and structure datasets used for training AI models. My main responsibilities included annotating text, images, and audio data, as well as performing sentiment and intent classification. I contributed to speech-to-text transcription and collaborated with QA teams to ensure dataset quality. • Annotated text data for sentiment analysis and intent classification tasks. • Performed speech-to-text transcription for speech recognition models. • Utilized annotation platforms to organize, review, and export labeled datasets. • Ensured annotation quality in collaboration with QA reviewers.

2022 - 2022

Junior AI Data Annotator

CVATImageClassification

As a Junior AI Data Annotator, I supported early-stage dataset preparation and annotation for deep learning training pipelines. I performed image classification and object labeling while ensuring consistency through strict annotation guidelines. I participated in feedback loops by identifying labeling errors and ambiguities. • Conducted image classification and object detection tasks. • Assisted with labeling processes for computer vision datasets. • Maintained data consistency and accuracy across supervised projects. • Engaged in error analysis to refine annotation processes.

As a Junior AI Data Annotator, I supported early-stage dataset preparation and annotation for deep learning training pipelines. I performed image classification and object labeling while ensuring consistency through strict annotation guidelines. I participated in feedback loops by identifying labeling errors and ambiguities. • Conducted image classification and object detection tasks. • Assisted with labeling processes for computer vision datasets. • Maintained data consistency and accuracy across supervised projects. • Engaged in error analysis to refine annotation processes.

2021 - 2022

Education

Work History