Data Labeling Course
This course equips you with expertise in data labelling for customer support, teaching robust schema design, ethical dataset creation, annotation workflows, handling tricky cases such as sarcasm and mixed sentiments, and delivering high-quality, documented data to build reliable AI models for tech products.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain essential skills in data labelling for customer support texts, covering schema design for intent, sentiment, and safety, synthetic data creation with privacy safeguards, consistent annotation practices, edge case management like sarcasm and ambiguity, quality controls, and producing documented datasets for effective AI model training.
Elevify advantages
Develop skills
- Design effective label schemas for intent, sentiment, and safety categories quickly.
- Build balanced, privacy-protected datasets by collecting and anonymising customer texts.
- Implement professional annotation processes to improve consistency and resolve disputes.
- Manage challenging short texts including sarcasm, errors, ambiguities, and mixed emotions.
- Produce ready-to-use labelled data with full documentation and quality reports.
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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