Data Annotation Course
This course equips you with essential skills for high-quality data annotation in machine learning projects, covering taxonomy design, guideline creation, operational management, quality control, and dataset delivery.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short Data Annotation Course teaches you to create strong label sets for problem types and urgency levels, write simple guidelines, and manage tricky cases with ease. You will learn practical ways to annotate data, choose tools, and review work, then gain skills in quality checks, agreement measures, and delivering datasets so your labelled data is dependable, uniform, and set for effective machine learning.
Elevify advantages
Develop skills
- Design ML-ready label taxonomies: build clear, strong sets for issues and urgency.
- Write elite annotation guidelines: sharp rules, tricky cases, and real examples.
- Run efficient labelling operations: tools, workflows, batching, and reviewer processes.
- Control data quality: agreement measures, drift monitoring, and gold-standard sets.
- Deliver production datasets: clean structures, anonymised text, and modeller documents.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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