Job Description
Job Description
Remote/Hybrid:This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA youare expected to report to that location three times a week.
Help teach our self‑driving vehicles how to see and understand the world!
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization.
We operate in the intersection of software engineering, data engineering, and AI/ML, defining the strategies, tooling, and quality controls that create reliable training data at scale. Our tools and platform are used by thousands of users and consumers.
We own a modern full‑stack architecture including TypeScript/React, Python, GraphQL, Golang, and ML model services, which powers data‑annotation pipeline...