Xiaoya E.

Key Skills

Software

LabelImg

Other

Top Subject Matter

Autonomous driving/lane recognition

Waste classification

E-commerce text review sentiment analysis

Top Data Types

Image

Text

Top Task Types

Classification

Emotion Recognition

Freelancer Overview

Online Data Annotator at AI Data Platform. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and LabelImg. Education includes Bachelor of Science, 安徽工业大学 (2028). AI-training focus includes data types such as Image and Text and labeling workflows including Classification and Emotion Recognition.

Labeling Experience

Online Data Annotator at AI Data Platform

ImageClassification

I was responsible for image classification and bounding box labeling tasks on an AI data platform, achieving a stable annotation accuracy above 98.5%. I participated in a lane line segmentation project, where I used polygon tools to precisely delineate lane lines and produced an average of over 300 images per day. I assisted the QA team with cross-checking and corrections, which improved the batch data pass rate. • Completed annotation of over 12,000 images with high accuracy. • Utilized in-platform proprietary labeling tools and shortcuts for high efficiency. • Detected and rectified more than 200 labeling errors during quality audit tasks. • Rapidly adapted to iterative annotation guidelines and project protocols.

2025 - Present

Data Labeling Lead for University Project

LabelImgImageClassification

As data annotation lead for the campus 'intelligent waste sorting' project, I established labeling rules and edge definitions for six categories of household waste images. I used LabelImg to label 5,000 images and converted them for YOLO model training. Our review and feedback mechanism improved group annotation consistency from 89% to 97%. • Trained and led a team of 5 annotators on fine-grained labeling standards. • Designed and implemented QA checks to ensure high-quality dataset. • Managed conversion of dataset into formats compatible with AI training. • Contributed to the project achieving a model recognition accuracy of 93%.

2025 - 2025

Short-term Text Sentiment Annotator

OtherTextEmotion Recognition

I performed sentiment polarity annotation (positive/negative/neutral) and keyword tagging for 3,000 e-commerce review texts as a short-term task. I handled ambiguous samples and cases involving sarcasm strictly according to guidelines, resulting in a team acceptance rate in the top 15%. I also assisted in compiling difficult case documentation to support team onboarding. • Labeled emotional tone and extracted relevant keywords for each review. • Maintained consistency on complex samples through peer consultation. • Adhered closely to annotation rules for all special cases. • Produced training materials to expedite new team member integration.

2024 - 2025

Education

Work History