Labelbox

Signals from job descriptions

Patterns mined from Labelbox's open FDE postings

• 01

  RL Environments is an explicit FDE job track, where FDEs build reinforcement learning training environments for enterprise AI. No other company in this dataset has this role.

• 02

  Reinforcement learning language appears 13 times across JDs, the highest RL signal density in the dataset.

• 03

  25-30% of team capacity is explicitly protected for research collaboration, unusual for a deployment-focused engineering role.

• 04

  Computer-use and agentic workspace environments appear in recent JDs alongside classical annotation, signaling expansion from labeling into agent training data.