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

Full Stack Engineer Mid-Level

LabelboxSan Francisco

Posted 1 month agoMid-LevelFull Stack Engineer📍 San Francisco💰 $130,000 - $200,000 / yearly
Apply Now →

Skills & Technologies

Overview

Labelbox is hiring a Full Stack Engineer for their AI Data Platform to build critical infrastructure for AI models. You'll work with JavaScript, React, and Node.js to develop advanced annotation tools and workflow automation. This position requires experience in full-stack development.

Job Description

Who you are

You have a strong background in full-stack development, with expertise in JavaScript, React, and Node.js — you've built scalable applications and understand the intricacies of both frontend and backend technologies. You thrive in high-impact environments where your contributions directly influence the success of projects. Your experience includes working with data-centric approaches, particularly in AI development, and you are eager to tackle complex challenges in this rapidly evolving field. You are a proactive learner, continuously seeking to enhance your skills and adapt to new technologies. You enjoy collaborating with cross-functional teams, bringing together diverse perspectives to create innovative solutions. You are comfortable taking ownership of your work and are motivated by the opportunity to shape the future of AI.

What you'll do

As a Full Stack Engineer at Labelbox, you will play a pivotal role in developing the infrastructure that powers AI models for leading research labs and enterprises. You will collaborate closely with product managers, designers, and other engineers to build advanced annotation tools and workflow automation systems that enable teams to produce high-quality training data at scale. Your responsibilities will include designing and implementing user-friendly interfaces, optimizing backend services for performance and scalability, and ensuring seamless integration between various components of the platform. You will also participate in code reviews, contribute to architectural discussions, and mentor junior engineers, fostering a culture of technical excellence within the team. Your work will directly impact the efficiency and effectiveness of AI development processes, making a tangible difference in the industry.

What we offer

At Labelbox, you will be part of a high-impact environment that operates like an early-stage startup, where your contributions are recognized and rewarded. We provide opportunities for continuous growth and learning, encouraging you to take on expanded responsibilities as you develop your skills. You will work at the cutting edge of AI development, collaborating with industry leaders and contributing to innovative solutions that shape the future of artificial intelligence. Our culture celebrates ownership, speed, and impact, allowing you to thrive in a dynamic and supportive atmosphere. Join us in our mission to revolutionize AI development and make a meaningful impact in the field.

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