Brody Fruge

Key Skills

Software

Labelbox

CVAT

Scale AI

SuperAnnotate

Top Subject Matter

AI/NLP and Computer Vision

Autonomous Systems

Nlp Domain Expertise

Top Data Types

Text

Image

Document

Top Task Types

Bounding Box

Freelancer Overview

Senior Data Annotation Specialist. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Scale AI. Education includes Bachelor of Science, University of Houston (2019). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Bounding Box.

Labeling Experience

Senior Data Annotation Specialist

LabelboxText

Led high-volume NLP and computer vision annotation projects for large-scale AI models. Focused on evaluating and ranking AI-generated responses to support model improvement. Consistently achieved high annotation accuracy and mentored junior staff on guidelines and QA. • Delivered over 1.2 million labeled data points for NLP and computer vision projects • Maintained annotation accuracy above 99.3% through quality audits • Developed and refined labeling schemas with ML engineers • Provided training and support to 15+ annotation specialists

Led high-volume NLP and computer vision annotation projects for large-scale AI models. Focused on evaluating and ranking AI-generated responses to support model improvement. Consistently achieved high annotation accuracy and mentored junior staff on guidelines and QA. • Delivered over 1.2 million labeled data points for NLP and computer vision projects • Maintained annotation accuracy above 99.3% through quality audits • Developed and refined labeling schemas with ML engineers • Provided training and support to 15+ annotation specialists

2022 - Present

Data Labeling Analyst

LabelboxImageBounding Box

Performed image annotation for autonomous systems using bounding box, segmentation, and tracking techniques. Labeled NLP datasets for sentiment, entity recognition, and intent classification tasks. Contributed to documentation and compliance improvement efforts. • Executed bounding box and polygon segmentation for image datasets • Annotated sentiment and NER labels in text datasets • Identified ambiguous cases, improving model robustness by 18% • Maintained workflow documentation for process compliance

Performed image annotation for autonomous systems using bounding box, segmentation, and tracking techniques. Labeled NLP datasets for sentiment, entity recognition, and intent classification tasks. Contributed to documentation and compliance improvement efforts. • Executed bounding box and polygon segmentation for image datasets • Annotated sentiment and NER labels in text datasets • Identified ambiguous cases, improving model robustness by 18% • Maintained workflow documentation for process compliance

2020 - 2022

Education

Work History