Labelbox

Labelbox

San Francisco, CA, USA
467 employees
Developer Tools
Growth · $188.9M

About Labelbox

Labelbox builds and operates AI data factories, offering a software platform for data labeling, model evaluation, and workforce orchestration to help AI teams generate high-quality training datasets. The company serves leading AI labs and enterprises, providing tools for reinforcement learning data pipelines, human-in-the-loop annotation, and custom model evaluations. Customers include major organizations such as NASA JPL, Walmart, Procter & Gamble, and Airbnb.

Company details

Team Size467
LocationSan Francisco, CA, USA
IndustryDeveloper Tools

Funding

Total raised

$188.9M

Last stage

Growth

Investors

Kleiner Perkins
First Round Capital
a16z

Founders

MS

Manu Sharma

Co-founder of Labelbox, founded in January 2018 to solve AI training data infrastructure problems.

LinkedIn
BS

Brian Spiering

Co-founder of Labelbox, part of the team that built the collaborative training data platform in 2018.

DR

Daniel Rasmuson

Co-founder of Labelbox, contributing to the initial development of the data-agnostic labeling platform.

BR

Brian Rieger

Former Boeing aerodynamicist and self-taught technologist; co-founded Labelbox alongside Manu Sharma.

DR

Dan Rasmuson

Technical co-founder of Labelbox with a background in software and aerospace engineering.

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.