Perle Labs is a Web3-based AI platform built on Solana, designed to connect proven experts with enterprises and research teams to train and optimize AI models. Professionals, researchers, and experts in various fields can earn rewards by completing high-quality data annotation and verification tasks, and establish their own credibility on the chain.

This project mainly solves the following pain points:

1. Manual data bottleneck
AI models continue to require large-scale, high-quality data annotation, evaluation, and reinforcement learning feedback (RLHF), but existing processes struggle to scale efficiently.

2. Low-quality feedback problem
Relying on ordinary laborers who lack professional background results in noisy feedback, which affects the accuracy of AI models.

3. Lack of verifiability
The overall process is opaque and lacks auditable records of participant performance and data quality.