AI trainer
At Perle Labs, I contributed to a structured AI data annotation and quality assurance platform supporting enterprise-grade machine learning systems. I worked across multi-modal datasets, including text, image, audio, and video, performing classification, tagging, transcription, AI output verification, and prompt refinement. My role focused on improving dataset integrity, logical consistency, and model reliability. During beta, contributors completed over 1.7 million tasks across domains. Quality standards included structured onboarding, performance scoring, real-time feedback, and blockchain-based recordkeeping to ensure transparency, traceability, and consistently high annotation accuracy for training and evaluating advanced AI models.