Forward Deployed Engineer - Robotics
Labelbox
About this role
The Robotics Data Pipeline & QA Engineer enables scalable, reliable robotics training data infrastructure to support frontier AI development. This role within the Alignerr Services team helps ensure high-quality labeled datasets for customers and internal ML teams. The position has direct impact on model quality, data throughput, and cost efficiency.
Skills
Qualifications
About Labelbox
labelbox.comLabelbox 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.
Recent company news
PR NewswireLabelbox acquires agentic sales automation startup, Upcraft, to rapidly scale the human expertise powering frontier AI
3 weeks ago
Andreessen HorowitzAI’s Unsung Hero: Data Labeling and Expert Evals
Jun 27, 2025
Business InsiderAI training companies are raising billions to get humans to teach chatbots. Here are the startups cashing in.
Sep 25, 2025
BloombergScale AI Rivals See Customer Demand Surge After Meta Investment
Jun 18, 2025
AI MagazineTop 10: Data Labelling Tools
Sep 17, 2025
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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and employee contacts for Labelbox.
Salary
$140k – $200k
per year