Data Labeling

Frequently asked questions

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

  Data Labeling is a skill in the "Data Engineering" category. It currently appears in 169 active AI roles across 51 companies in our index.

• Which companies are hiring for Data Labeling?

  The top employers with active AI roles mentioning Data Labeling are: xAI (30), Amazon (19), Adobe (12), Skydio (7), NVIDIA (7).

• Is demand for Data Labeling growing?

  Over the last 12 weeks, 90 new AI postings mentioned Data Labeling. Demand is rising — up 50% in the last four weeks compared to the earliest four weeks in the window.

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

  Roles requiring Data Labeling are concentrated in: data (40%), agents (19%), post-training (18%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

• What skills are commonly paired with Data Labeling?

  Job postings that mention Data Labeling most often also require: Machine Learning, Data Quality, Python, LLM Evaluation & Grading, Data Pipelines.