New AI postings mentioning Data Labeling per week — 90 total over 12 weeks.
169 active AI roles across 51 companies mention Data Labeling. Category: Data Engineering.
Data Labeling is a skill in the "Data Engineering" category. It currently appears in 169 active AI roles across 51 companies in our index.
The top employers with active AI roles mentioning Data Labeling are: xAI (30), Amazon (19), Adobe (12), Skydio (7), NVIDIA (7).
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.
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.
Job postings that mention Data Labeling most often also require: Machine Learning, Data Quality, Python, LLM Evaluation & Grading, Data Pipelines.
8 AI roles requiring this skill.
| Company | Title | Sector | AI score | Stage |
|---|---|---|---|---|
| NVIDIA | Senior Research Scientist, Nemotron Post-training | Semiconductors | 9 | L2 |
| NVIDIA | Senior Machine Learning Engineer, Perception - Autonomous Driving | Semiconductors | 9 | L6 |
| NVIDIA | Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles | Semiconductors | 9 | L4 |
| NVIDIA | Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles | Semiconductors | 9 | L6 |
| NVIDIA | Agent RL Infra Engineer | Semiconductors | 9 | L2 |
| NVIDIA | Senior Capability Development Engineer | Semiconductors | 9 | L4 |
| Cerebras | Applied AI/ML Scientist | Semiconductors | 9 | L2 |
| NVIDIA | Lead Engineer, Healthcare Data Operations and Strategy | Semiconductors | 7 | L0 |