Data Labeling Course
Master data labeling for customer support text. Learn to design robust schemas, create realistic datasets, handle edge cases, and ensure quality annotations that power accurate, safe AI models for real-world technology products.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This concise Data Labeling Course teaches you how to collect diverse customer messages, design robust intent, sentiment, and safety schemas, and write realistic synthetic examples while protecting privacy. You will practice consistent annotation, handle edge cases like sarcasm and ambiguity, apply quality control, and deliver clean, well-documented labeled datasets ready for reliable model training.
Elevify advantages
Develop skills
- Design robust label schemas: build clear intent, sentiment, and safety tags fast.
- Create realistic, ethical support datasets: collect, anonymize, and balance text.
- Apply pro-grade annotation workflows: resolve conflicts and boost label quality.
- Handle edge cases in short texts: sarcasm, typos, mixed sentiment, and ambiguity.
- Deliver modeling-ready labeled data: document decisions and report data quality.
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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