What is the difference between Freelance Data Labelling vs Freelance Data Annotation?
Career: Freelance Data Labelling
| Aspect | Freelance Data Labelling | Freelance Data Annotation |
|---|---|---|
| Credentials | Basic understanding of data types, attention to detail | Similar credentials, often overlapping with data labelling skills |
| Work Environment | Remote, project-based | Remote, project-based |
| Industry Usage | Used across AI, machine learning, and data science projects | Used in AI, machine learning, and computer vision tasks |
Both roles involve preparing data for AI models, with data labelling focusing on categorizing data and data annotation often involving adding detailed labels or annotations. The main difference lies in the scope and type of labels, but they are closely related and often overlap in freelance work.