Data Labeler
As a data labeler on Alaya AI, a decentralized Web3-based AI data annotation platform that leverages crowdsourced contributors, AI auto-labeling, blockchain verification, and tokenized incentives to produce high-quality multimodal datasets (text, image, audio, video) for enterprise AI and Web3 applications, I performed various annotation tasks including image classification/bounding boxes/segmentation, text sentiment/entity recognition, audio transcription/classification, video object tracking, and human validation of AI outputs through consensus reviews. The project involved contributing to large-scale, ongoing global campaigns supported by hundreds of thousands of registered users and active contributors, processing vast volumes of verified data points for applications like autonomous driving and robotics, while strictly adhering to enterprise-grade quality standards such as multi-step consensus voting, real-time accuracy monitoring (targeting high agreement rates), anomaly detection