Wen C.

Key Skills

Software

Label Studio

Top Subject Matter

Healthcare — Medical Records and Patient Data

Finance—Risk Analysis and Fraud Detection

E-commerce — Product Classification and Customer Support

Top Data Types

Image

Video

Audio

Top Task Types

Object Detection

Segmentation

Classification

Entity (NER) Classification

Freelancer Overview

I have over 2 years of experience in data annotation and AI training data processing, primarily participating in annotation work for computer vision and natural language processing projects. In past projects, I have proficiently used annotation tools such as LabelStudio, CVAT, and Doccano, completing tasks including image classification, object detection, semantic segmentation, and text entity recognition, with a cumulative annotated data volume exceeding 500,000 entries, ensuring data quality with over 95% accuracy. I am particularly skilled at handling edge cases in complex scenarios, such as low-light image annotation and multilingual text correction. I once served as a core annotator in a product recognition project for an e-commerce platform, helping to increase model accuracy by 15%. I emphasize annotation standardization and efficiency, am familiar with data cleaning and quality review processes, and possess some Python scripting capabilities to assist with annotation. These experiences enable me to quickly adapt to AI training requirements in different fields and ensure the delivery of high-quality annotated results.

Education

Work History