Labelbox

About Labelbox

Transforming data labeling for machine learning success

🏢 Tech👥 101-200 employees📅 Founded 2017📍 Mission District, San Francisco, CA💰 $188.9m3.6
B2BArtificial IntelligenceInternal toolsMachine LearningSaaS

Key Highlights

  • Raised $188.9 million in Series C funding
  • Headquartered in Mission District, San Francisco, CA
  • Offers automated labeling to enhance productivity
  • Focus on ethical data labeling and bias reduction

Labelbox is a leading data training platform for machine learning applications, providing a web service and API that streamlines the annotation and labeling process for companies. Founded in 2018 and headquartered in the Mission District of San Francisco, Labelbox has raised $188.9 million in fundin...

🎁 Benefits

Labelbox offers a flexible vacation policy without counting PTO days, a 401k program, and a health savings account (HSA). Employees enjoy daily lunche...

🌟 Culture

Labelbox promotes a culture of innovation and ethical responsibility in AI, focusing on addressing bias in data labeling. The company emphasizes produ...

Labelbox

Ai Research Engineer Mid-Level

LabelboxSan Francisco

Posted 5 months agoMid-LevelAi Research Engineer📍 San Francisco💰 $250,000 - $300,000 / yearly
Apply Now →

Overview

Labelbox is hiring an Applied Research Engineer to shape the future of AI by building critical infrastructure for AI models. You'll work in a high-impact environment focused on innovation and technical excellence. This position requires a strong background in AI development.

Job Description

Who you are

You have a strong background in AI development and are passionate about shaping the future of artificial intelligence. You thrive in high-impact environments and are eager to take on expanded responsibilities quickly, with your career growth directly tied to your contributions. You are a continuous learner, surrounded by curious minds solving complex problems at the frontier of AI.

What you'll do

In this role, you will collaborate with industry leaders to build the critical infrastructure that powers breakthrough AI models. You will work on advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale. Your contributions will be essential as AI capabilities expand exponentially, and you will celebrate ownership and rapid execution in your work.

What we offer

At Labelbox, you will be part of a team that operates like an early-stage startup, focusing on impact over process. You will have the opportunity to work at the cutting edge of AI development and continuously grow in your role. We reward high agency and innovation at speed, creating an environment where you can thrive and make a significant impact.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Labelbox.

Similar Jobs You Might Like

Based on your interests and this role

Labelbox

Applied Scientist

Labelbox📍 San Francisco

Labelbox is hiring an Applied Research Engineer to shape the future of AI by building critical infrastructure for AI models. You'll work in a high-impact environment focused on innovation and technical excellence.

Mid-Level
5 months ago
Factory

Ai Engineer

Factory📍 San Francisco - On-Site

Factory is hiring a Research Engineer to design and integrate advanced AI and ML capabilities. You'll work on AI-driven systems and collaborate with product and engineering teams. This position requires 2+ years of experience in AI/ML engineering.

🏛️ On-SiteMid-Level
1 year ago
Mem0

Ai Engineer

Mem0📍 San Francisco

Mem0 is seeking an Applied AI Engineer to develop proofs-of-concept that integrate AI tools into customer workflows. You'll utilize technologies like Python and React to build end-to-end demos. This role requires strong full-stack development skills and experience in AI integration.

Mid-Level
1 month ago
Apple

Applied Scientist

Apple📍 Sunnyvale - On-Site

Apple is hiring an Applied Research Engineer to shape the future of wearable technology. You'll conduct human-centered studies and collaborate with cross-functional teams to drive product design. This role requires expertise in biomechanics and data analysis.

🏛️ On-SiteMid-Level
2 months ago
OpenAI

Ai Research Engineer

OpenAI📍 San Francisco - On-Site

OpenAI is hiring a Research Engineer in Applied AI Engineering to design and deploy advanced machine learning models that solve real-world problems. You'll work with technologies like Python and TensorFlow in San Francisco.

🏛️ On-SiteMid-Level
1 year ago