Job Description

Labelbox is seeking a Robotics Data Pipeline & QA Engineer to build and optimize end-to-end infrastructures for robotics data workflows, ensuring high-quality data production at scale. The role involves designing data pipelines, implementing automated QA systems, and collaborating with internal teams to integrate tooling and improve data reliability.

Responsibilities

• Build and optimize ingestion pipelines for robotics data
• Architect scalable labeling workflows
• Implement automated QA flows
• Create dynamic trust scoring systems
• Track data progression
• Build monitoring systems
• Identify robotic-specific annotation edge cases
• Collaborate with internal teams

Requirements

• Hands-on experience with robotics systems
• Ability to translate robotics data failure modes into quality gates
• Understanding of human-in-loop QA vs automated review
• Experience designing pipelines for large media workloads
• Comfort owning workflows spanning infrastructure, product, and user behavior
• Master’s degree or higher in a related field
• Proficiency in Python and data analysis
• Prior experience leading LLM projects
• Strong communication and project management skills

Benefits

• No benefits