Outlier Operations
Responsibilities included overseeing quality control processes, performing Evaluation Rating on large volumes of training data, auditing labeled examples for accuracy and consistency, and enforcing strict rubric guidelines across multiple projects. Collaborated with labeling teams to maintain high data quality standards, identified patterns in model weaknesses, escalated critical issues, and contributed to operational improvements that enhanced overall training pipeline efficiency. Worked across diverse domains including business, STEM, and general AI alignment tasks while consistently meeting or exceeding performance targets.