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Devqueen

Devqueen

AI Data Annotator | NLP & Computer Vision | High-Accuracy Labeling (95%+)

USA flagCalifornia, Usa
$10.00/hrExpertCVATLabelboxAppen

Key Skills

Software

CVATCVAT
LabelboxLabelbox
AppenAppen
MindriftMindrift
Surge AISurge AI
Scale AIScale AI
Redbrick AIRedbrick AI
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
HiveMindHiveMind
EncordEncord
DatasaurDatasaur
ClickworkerClickworker
CloudFactoryCloudFactory

Top Subject Matter

Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

Bounding BoxBounding Box

Freelancer Overview

Senior Java Engineer in Contract Review, Compliance, and Legal Research. Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Science, University of Washington (2021).

ExpertEnglishFrench

Labeling Experience

Text Classification Analyst – E-commerce Content Moderation (Appen)

TextClassification
Worked on text classification tasks through Appen, focusing on categorizing product descriptions and user reviews for an e-commerce platform. The task involved labeling text into predefined categories such as spam, inappropriate content, misleading information, and genuine product feedback. This helped improve automated moderation systems and recommendation engines by ensuring cleaner and more reliable datasets. I carefully interpreted labeling guidelines and handled ambiguous cases by applying consistent judgment, ensuring high-quality outputs for model training.

Worked on text classification tasks through Appen, focusing on categorizing product descriptions and user reviews for an e-commerce platform. The task involved labeling text into predefined categories such as spam, inappropriate content, misleading information, and genuine product feedback. This helped improve automated moderation systems and recommendation engines by ensuring cleaner and more reliable datasets. I carefully interpreted labeling guidelines and handled ambiguous cases by applying consistent judgment, ensuring high-quality outputs for model training.

2026 - 2026

Image Annotation Specialist – Autonomous Driving Dataset (Remotasks)

ImageBounding Box
Completed image annotation tasks on datasets used to train self-driving car models via Remotasks. The primary responsibility was drawing precise bounding boxes around objects such as vehicles, pedestrians, traffic lights, and road signs. I followed strict annotation guidelines to ensure consistency and accuracy across large datasets. The work directly contributed to improving object detection models used in autonomous navigation systems. I also reviewed flagged edge cases, such as occluded objects and low-visibility scenarios, to maintain labeling quality.

Completed image annotation tasks on datasets used to train self-driving car models via Remotasks. The primary responsibility was drawing precise bounding boxes around objects such as vehicles, pedestrians, traffic lights, and road signs. I followed strict annotation guidelines to ensure consistency and accuracy across large datasets. The work directly contributed to improving object detection models used in autonomous navigation systems. I also reviewed flagged edge cases, such as occluded objects and low-visibility scenarios, to maintain labeling quality.

2025 - 2026

AI Data Annotator – NLP & Computer Vision Projects

VideoObject Detection
Worked on multiple data labeling projects on Appen platform, contributing to the training of machine learning models computer vision. For computer vision projects, I performed image annotation using bounding boxes and polygon segmentation to identify objects such as vehicles, pedestrians, and everyday items. I ensured high annotation accuracy by following strict labeling guidelines and conducting quality checks.

Worked on multiple data labeling projects on Appen platform, contributing to the training of machine learning models computer vision. For computer vision projects, I performed image annotation using bounding boxes and polygon segmentation to identify objects such as vehicles, pedestrians, and everyday items. I ensured high annotation accuracy by following strict labeling guidelines and conducting quality checks.

2025 - 2025

Education

U

University of Washington

Bachelor of Science, Computer Science

Bachelor of Science
2016 - 2021

Work History

C

Cloudcore Solutions

Senior Java Engineer

Seattle
2016 - Present
A

Apex Development Group

Java Software Engineer

Portland
2013 - 2016