Labelbox

Python Software Engineer - AI Workflows

Labelbox

3 months ago
Remote
Contract
Senior
0 applicants
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Labelbox
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About this role

The Senior Python Full-Stack Engineer — AI Data & Infrastructure role focuses on building and optimizing systems that power AI data pipelines and evaluation workflows. The position involves working on production-grade tools and infrastructure used by leading AI labs. This engineer will contribute to large-scale data annotation, validation, and quality control systems while improving reliability and performance of existing Python codebases. The role is project-based with flexible weekly hours and remote collaboration.

Skills

Labelbox

About Labelbox

labelbox.com

Labelbox is a data labeling and data‑ops platform that helps AI teams "build, operate, and staff" scalable data factories for training machine learning models. It combines a web annotation suite (images, video, LiDAR, and text), workflow and quality controls, data management and metadata tools, plus APIs and integrations to fit into ML pipelines. Alongside the software, Labelbox provides managed labeling services and workforce solutions to scale annotation and maintain label quality. Enterprises use it to accelerate model development, improve label consistency and governance, and operationalize high‑volume labeled data.

About Labelbox

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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