Path
Working well on data projects
The real craft behind a paid data project. Follow the guideline. Ask the right question about an odd case. Stay consistent. Never trade accuracy for speed.
- Prepares you for
- Annotation — marking up data so a model can learn from it. This path prepares you for paid annotation and data projects. A client measures how consistent you are. It follows AI trainer essentials.
- What you learn
- You follow a written guideline even when you privately disagree with it. You ask about an odd case in a form someone can really answer. You keep your own judgments steady across a long batch. You decide when a guess costs the project more than an unfinished item.
- Why this order
- It starts where a paid batch starts, with the guideline. It ends with the pressure that breaks batches: speed.
- The guideline decides, not your taste15 minutes
- Ask a good question about an edge case15 minutes
- Stay consistent with yourself and others20 minutes
- Do not trade accuracy for speed18 minutes
- Build a small set of settled cases22 minutes
- Audit your own finished batch20 minutes
- Hand a batch over with its notes20 minutes
Curriculum reviewed: