
Corpshore's annotation service labels training data across modalities — 2D/3D bounding boxes, polygons, segmentation, video tracking, LiDAR/point-cloud, text NER/classification, and audio/multimodal data — for ML model development. It emphasizes labeling consistency over raw per-item accuracy, using dedicated (non-rotating) annotator pods, a three-tier QA cascade (peer review, expert QA leads, programmatic consistency checks), and tracked inter-annotator agreement, claiming 97%+ accuracy across 150M+ annotations completed. It operates across 18+ countries in 35+ languages at a stated 50-70% cost advantage versus US-domestic providers, serving use cases like autonomous vehicle perception, medical imaging, content moderation, and retail cataloging.