What Is Data Labeling? A Plain-English Guide

Data labeling means humans mark, rank, or correct information so machine learning models can learn. For large language models, that often looks like choosing the better answer, writing critiques, or checking facts.

Related work includes RLHF (reinforcement learning from human feedback), red teaming (finding unsafe outputs), and domain evaluation (experts scoring specialized answers).

If you’ve never heard of it, you’re not alone — it’s one of the fastest-growing remote contract categories in AI.