Data Annotation Course
This course equips you with essential skills for high-quality data annotation in machine learning projects, covering label design, guidelines, workflows, quality control, and dataset delivery.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This concise Data Annotation Course shows you how to design robust label sets for issue type and urgency, write clear guidelines, and handle edge cases with confidence. Learn practical annotation workflows, tool selection, and review processes, then master quality control, agreement metrics, and dataset delivery so your labeled data is reliable, consistent, and ready for high-impact machine learning.
Elevify advantages
Develop skills
- Design ML-ready label taxonomies: build clear, robust issue and urgency sets.
- Write elite annotation guidelines: crisp rules, edge cases, and live examples.
- Run efficient labeling ops: tools, workflows, batching, and reviewer pipelines.
- Control data quality: agreement metrics, drift tracking, and gold-standard sets.
- Deliver production datasets: clean schemas, de-identified text, and modeler docs.
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 are saying
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