Data Labeling Specialist / AI Trainer (Handshake AI)
Labeled, categorized, and reviewed text-based data to support AI model training and evaluation in a remote environment. Evaluated AI-generated responses for accuracy, relevance, consistency, and compliance with project requirements while applying annotation guidelines to maintain high dataset reliability. Conducted quality assurance reviews, documented findings, and provided feedback to improve labeling workflows. • Text annotation using provided guidelines • AI response evaluation (accuracy/relevance/consistency) • Dataset quality assurance and validation • Research and fact-checking to improve integrity