Software Operations Specialist
Core
Review annotated datasets and labeling outputs for quality and consistency across robotics and autonomy workflows; test internal tools and validate fixes.
Role type
QA and testing specialist for autonomous vehicle data
Builds
High-quality training data and validated internal tools for Level 4 autonomous driving systems
Domain
Autonomous driving / Robotics / AI
Deliverable
production ML models
Required skills
QA and software testing, operations, content review, defect documentation, bug reproduction, test coverage tracking, quality-control rubric application, data annotation review, 3D tools familiarity, visual software review, sensor/video output review
Preferred skills
Mapping experience, robotics experience, autonomy experience, ML training data production experience, Bachelors degree
Technologies
3D AI, Robotics, Model Training
Responsibilities
Review annotated datasets and labeling outputs for quality and consistency; Apply quality-control rubrics to assess outputs, record defect types, and maintain complete review logs; Test internal tools across standard workflows and exception scenarios; Reproduce reported bugs and validate fixes, documenting steps, inputs, and expected versus actual behavior; Track test coverage and flag discrepancies before testing cycles begin; Submit quality-control and testing logs on schedule, escalating urgent or high-severity defects promptly; Write clear, reproducible, actionable defect notes and escalate ambiguous cases or scenarios not covered by the rubric or test plan; Identify recurring defects, systemic issues, and documentation gaps, and contribute feedback to improve processes, testing methods, and internal documentation; Collaborate with operations and engineering teams to communicate findings and support prioritization, routing formal feedback through the Operations Lead.