Full-Stack Engineer, AI Data Platform

Labelbox

2 months ago

3.6 on Glassdoor

San Francisco Bay Area

Hybrid

Full Time

Medior

5 applicants

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About this role

The Full-Stack AI Engineer will build end-to-end tooling and features for developing, evaluating, and training state-of-the-art AI systems, focusing on human-in-the-loop workflows and LLM-assisted review loops. The role spans frontend, backend, data, and infrastructure work and involves designing scalable systems for data creation, review, and evaluation. This position operates within a fast-paced engineering environment with ownership over product features and contributions to engineering practices and reliability.

Skills

Qualifications

Bachelor's Degree in Computer Science, Data Engineering, or Related Field

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.