Atlas Capture
Performed image and data annotation tasks for the Atlas Capture project, labeling datasets used to train and evaluate machine learning models. • Consistently maintained a high degree of accuracy across annotation batches, meeting or exceeding project quality benchmarks. • Applied systematic quality control practices to review and verify labeled data before submission. • Handled diverse data types including images and structured text, adapting quickly to evolving labeling guidelines. • Met project deadlines reliably, managing workload independently with minimal supervision. • Collaborated with team leads to clarify annotation ambiguities and improve labeling consistency across the group.