Annotation Quality: How to Measure It in 2026
Most US AI teams only start asking hard questions about annotation quality after a model has already disappointed them in production. By then the training data is built and the damage is baked in. Quality is the single biggest factor a team can actually control, and it is also the one most teams take on […]





