Zhuang Jason

Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

Labelbox

Mindrift

OneForma

Remotasks

Scale AI

Snorkel AI

Toloka

Don't disclose

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Classification

Computer Programming Coding

Data Collection

Fine Tuning

Prompt Response Writing SFT

Freelancer Overview

With over five years of experience in data labeling, annotation, and AI training dataset curation, I specialize in delivering high-quality, structured datasets for machine learning models across NLP, computer vision, and multimodal AI systems. My expertise spans data pipeline optimization, QA frameworks, and bias mitigation, ensuring reliable inputs for production-level AI. I have hands-on experience with Label Studio, CVAT, and Prodigy, along with custom tools, and have led teams to annotate 1M+ images for autonomous vehicles (98% label consistency) and multilingual NLP datasets (40% rework reduction). My focus is on scalability, precision, and cross-functional collaboration with ML engineers to align labeling strategies with model requirements. Passionate about transforming raw data into robust AI training resources, I combine technical rigor (Python scripting, SQL validation) with operational efficiency to accelerate model development. Whether fine-tuning LLMs or optimizing object detection datasets, I thrive on solving complex labeling challenges to drive AI innovation.

Labeling Experience

Education

Work History