Decentralized AI Data Contributor
As a Decentralized AI Data Contributor for Sapien, June AI, Bless, and Newton, I delivered high-volume labeling for emerging Web3 machine learning protocols. My work involved providing Human-in-the-Loop (HITL) feedback to refine model algorithmic accuracy and dataset integrity. Rapid adaptation to bespoke platforms and shifting evaluation metrics was required for success. • Contributed to distributed data labeling for specialized models. • Supplied frequent quality feedback to optimize AI system outputs. • Maintained a high annotation acceptance rate across platforms. • Supported decentralized protocol evolution through dynamic evaluation.