Jobs

Labelbox

Labelbox

Labelbox

Machine Learning

Data Management

Computer Vision

Natural Language Processing

AI Infrastructure

San Francisco, CA

201-500

Founded in 2018 (8 years ago)

Hybrid

Private

Valuation

$1B

Total funding

$185M

Last round

Series D

Open roles at Labelbox

6 open roles

Cyber Security Intern

Security

San Francisco Bay Area

On-site

Intern

Internship

Equity

Learning Budget

View job

1 week ago

Forward Deployed Research Scientist

Machine Learning

San Francisco Bay Area

On-site

Mid Level

Full-time

Equity

View job

3 months ago

Forward Deployed Engineer, RL Environments

Machine Learning

San Francisco Bay Area

On-site

Mid Level

Full-time

Equity

View job

3 months ago

Technical Program Manager

Product

San Francisco Bay Area

On-site

Lead

Full-time

View job

4 months ago

Applied Research Engineer, Agents

Data Science

San Francisco Bay Area

On-site

Mid Level

Full-time

Equity

View job

4 months ago

Applied Research Engineer

Machine Learning

San Francisco Bay Area

On-site

Mid Level

Full-time

Equity

View job

4 months ago

Closed positions

9 positions

Forward Deployed Engineer

San Francisco Bay Area

Mid Level

Closed 1 week ago

Applied Research Intern

San Francisco Bay Area

Intern

Closed 1 week ago

Full-Stack Engineer, AI Data Platform

San Francisco Bay Area

Mid Level

Closed 2 weeks ago

Managing Partner, Frontier AI

San Francisco Bay Area

Mid Level

Closed 2 weeks ago

Forward Deployed Engineer Intern

San Francisco Bay Area

Intern

Closed 1 month ago

Products and services

DA

Data Labeling Platform

Data Annotation

MO

Model-Assisted Labeling

AI Automation

DA

Data Management

Data Operations

QU

Quality Management

Quality Control

WO

Workforce Management

Team Management

AN

Analytics and Insights

Analytics

EN

Enterprise Security

Security

AN

Analytics and Reporting

Analytics

ON

Ontology Builder

Configuration

AP

API and Integrations

Developer Tools

CU

Custom Integrations

Integration

Total Views

10

Total Apply Clicks

0

Total Mock Apply

0

Total Bookmarks

0

Reviews

4.1

10 reviews

Work-life balance

3.8

Compensation

2.5

Culture

4.2

Career

3.7

Management

4.0

75%

Recommend to a friend

Pros

Supportive team and colleagues

Flexible hours and work-life balance

Growth and learning opportunities

Cons

Low or uncompetitive compensation

High workload and long hours

Limited remote work and career advancement

Contact and location