Stage 1 · Lesson 2 of 6
What annotators actually label
Annotation work comes in a handful of task types. In images you draw around objects, trace or masks for exact outlines (segmentation), or mark keypoints such as the joints of a body. In video you track the same object across frames.
In text you classify whole passages (topic, sentiment, toxic or not) or tag , such as names of people and places, which is . In audio you transcribe speech, mark who is speaking and when, and note noise. Each type has its own tools, shortcuts and common mistakes. Many projects also ask you to rate or check other people's labels.
Common trapapplying everywhere without knowing these types, then failing a test because you have never drawn a polygon or tagged an entity.
A question to check yourself, an AI practice session and 5 cheat sheet entries come with the full roadmap. Unlock
Resources for this stage
Start with· follow one of these
- CoursePaidGrokking Modern AI Fundamentals
Design Gurus · Beginner · $72 one-time
A structured course on how modern AI models are built and trained, for the full picture behind your tasks
- VideoFreeDeep Dive into Large Language Models like ChatGPT
Andrej Karpathy · Intermediate
Free: Karpathy walks through pre-training, fine-tuning and RLHF, including the role of human labellers