Jobs

Labelbox

Labelbox

Labelbox

Labelbox provides a platform for creating and managing training data for machine learning models through data labeling tools and workflow management.

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

3 open roles

Cyber Security Intern

Security

San Francisco Bay Area

On-site

Intern

Internship

Equity

Learning Budget

View job

2 months ago

Forward Deployed Research Scientist

Machine Learning

San Francisco Bay Area

On-site

Mid Level

Full-time

Equity

View job

4 months ago

Forward Deployed Engineer, RL Environments

Engineering

San Francisco Bay Area

On-site

Mid Level

Full-time

Equity

View job

5 months ago

Closed positions

14 positions

Strategic Project Lead, Manager

San Francisco Bay Area

Lead

Closed 1 month ago

Associate Forward Deployed Engineer, Enterprise Accounts

San Francisco Bay Area

Entry

Closed 1 month ago

Applied Research Scientist, Agents

San Francisco Bay Area

Mid Level

Closed 1 month ago

Managing Partner

San Francisco Bay Area

Director

Closed 1 month ago

Applied Research Engineer, Agents

San Francisco Bay Area

Mid Level

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

78

Total Apply Clicks

0

Total Mock Apply

1

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