Labelbox solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, Labelbox's main product is a platform that makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications.

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Information Technology

Labelbox

Labelbox's headquarters in San Francisco, CA, United States

This department focuses on overseeing and implementing strategies related to the development and deployment of frontier AI technologies.

Frontier AI Operations

This department focuses on developing and maintaining software applications and systems.

Software Engineering

The Engineering Team at Labelbox is responsible for developing and maintaining the core platform that enables the creation and management of labeled data for AI and machine learning applications. The team ensures robust software architecture, oversees infrastructure operations, and implements security measures. Their work is critical in facilitating seamless AI deployment for Labelbox’s customers.

Engineering Team

This department focuses on deploying engineering resources directly to client environments to ensure successful implementation and support of solutions.

Forward Deployed Engineering

The Leadership Team at Labelbox drives the strategic vision and operational execution of the company, ensuring alignment across all departments to enhance the product development and customer experience. Comprising key roles such as the CEO, CPO, CFO, and other executives, this team collaborates to foster innovation in the AI and machine learning space while managing resources, talent, and marketing efforts to support the company’s growth and success.

Leadership Team

This department focuses on developing and enhancing AI models through training and educational programs.

Artificial Intelligence Training

This department focuses on the collection and labeling of data to ensure high-quality datasets for training machine learning models.

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Other teams

Software Engineering

Engineering Team

Forward Deployed Engineering

Leadership Team

Artificial Intelligence Training

Data Annotation