How do you ensure label/annotation quality in a data pipeline?

Models can only be as good as their labels, and noisy annotation quietly caps performance. What interviewers want is a measured quality process, not a bigger collection effort. Here is the answer.

Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.