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Inside Zuvintel: How We Scaled a 60-Specialist Annotation Operation
From onboarding curricula to per-modality pods, a look at the operating model behind Zuvintel's annotation floor — and why specialist depth beats headcount every time.
Field notes from the annotation floor — data quality engineering, labelling craft, and the operational detail behind production-grade AI datasets.
From onboarding curricula to per-modality pods, a look at the operating model behind Zuvintel's annotation floor — and why specialist depth beats headcount every time.
Sparse returns, sensor misalignment, and inconsistent instance IDs cost autonomous-vehicle teams months of debugging. These are the failure modes we screen for on every LiDAR engagement.
Accuracy targets mean nothing without the quality pipeline behind them. Here is how multi-stage QA, consensus scoring, and calibrated gold sets turn a marketing number into a measurable guarantee.