/aipeople All market landscapes →

Market landscapes / Training Data / Expert Data & RL Environments for Frontier Labs

Invisible logo

Invisible

Enterprise AI training and deployment at scale. Invisible has trained over 80% of the world's leading AI models and provides a platform for enterprises to deploy, configure and train models on their own data, with a data lab, process automation and expert network.

Expert Data & RL Environments for Frontier Labs1,001-5,000 peopleinvisibletech.ai ↗

Updated 9 November 2026

Hiring now

From Invisible's own jobs board, checked every week.

20 open roles
11 in mid-July

Hiring its own recruiters. With a recruiter on the list, it is preparing to hire at a faster pace.

It has 20 open roles, up from 11 in mid-July.

Where the roles are

Solutions and customer engineering5
Operations and hiring3
Research and ML3
Engineering3
Product and design1

Against its sector

17 of the 67 active companies in Expert Data & RL Environments for Frontier Labs are advertising roles. Mercor has the most, with 109.

Who Invisible competes with

The other active companies we file under Expert Data & RL Environments for Frontier Labs, sorted by how much they are hiring.

Where this fits

Expert-generated data and reinforcement learning environments, sold almost entirely to the frontier labs. It exists because the labs decided data produced by specialists was worth more than more volume scraped from the open internet.

The Training Data mapAll Expert Data & RL Environments for Frontier Labs companies 67

We track hiring and team changes across all 174 companies in Training Data.

Our talent report for this sector shows how Invisible's team compares with its competitors.

What is in it:

Ask Ben for a copy →
Ben Jackson

I am Ben Jackson. I map this market, and I hire the commercial teams inside it: sales, marketing, product and delivery.

If you are building a team at a company like Invisible, want to work at one, or think Invisible is filed in the wrong place, put 20 minutes in my diary.

Book 20 minutes with Ben →