Data Augmentation

Frequently asked questions

• What is Data Augmentation and how common is it in AI job postings?

  Data Augmentation is a skill in the "ML Techniques" category. It currently appears in 64 active AI roles across 25 companies in our index.

• Which companies are hiring for Data Augmentation?

  The top employers with active AI roles mentioning Data Augmentation are: xAI (26), Unity (5), Scale AI (3), NVIDIA (3), Salesforce (2).

• Is demand for Data Augmentation growing?

  Over the last 10 weeks, 31 new AI postings mentioned Data Augmentation. Demand is rising — up 233% in the last four weeks compared to the earliest four weeks in the window.

• At which stage of AI development is Data Augmentation used?

  Roles requiring Data Augmentation are concentrated in: data (55%), application (17%), agents (13%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

• What skills are commonly paired with Data Augmentation?

  Job postings that mention Data Augmentation most often also require: Data Quality, Data Labeling, Dialog Systems, Speech & Audio Processing, Language Modeling.