Multi‑Sensor LiDAR Labeling Operations & Quality Expert

About the role

We are looking for a detail‑oriented Multi‑Sensor LiDAR Labeling Operations & Quality Expert to lead policy development, quality management and operational excellence for autonomous‑vehicle data annotation programs. The role works with LiDAR, camera, radar and sensor‑fusion workflows to create high‑quality datasets for self‑driving systems.

Key responsibilities

• Develop, maintain and update annotation policies for 3D LiDAR object labeling, multi‑sensor fusion, camera‑LiDAR alignment, radar‑assisted labeling, semantic segmentation, tracking and trajectory annotation.
• Define taxonomy, ontology, edge‑case handling and escalation guidelines, and translate perception model requirements into clear specifications.
• Create playbooks, SOPs, decision trees and reviewer guidelines; set quality metrics, acceptance criteria and operational KPIs.
• Design and support QA processes such as golden tasks, reviewer calibration and inter‑annotator agreement; conduct audits and drive corrective actions.
• Analyze productivity, ambiguity trends and policy gaps; support onboarding, certification and calibration programs for annotators.
• Collaborate with labeling vendors, BPO partners and internal perception, ML, tooling and program teams to improve consistency and support dataset launches.

Required profile

• Bachelor’s degree in Engineering, Computer Science, Robotics, Data Science, GIS or related field.
• 5+ years experience in autonomous‑vehicle data annotation, LiDAR labeling operations or annotation policy development.
• Strong analytical and problem‑solving abilities with excellent documentation and stakeholder communication skills.

Required skills

• 3D point‑cloud data handling
• LiDAR and multi‑camera annotation tools
• Sensor fusion and radar integration
• Object tracking and trajectory annotation
• HD map annotation