RMSI - Senior Annotation & Labelling Manager - Camera / LIDAR / Radar Systems

Position Overview :

We are seeking a seasoned and technically astute Manager / Sr. Manager with deep expertise in Annotation & Labelling for Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS). The ideal candidate should possess hands-on experience managing complex, large-scale data labelling workflows across multi-sensor environments (Camera, LiDAR, Radar), while effectively engaging with global AI / ML engineering teams and enterprise clients.

This role demands a strong grasp of sensor fusion, perception stack workflows, and data quality frameworks, along with the leadership capability to run high-throughput annotation projects across 2D, 3D, and semantic data pipelines.

Key Responsibilities :

• Manage annotation pipelines across image, video, LiDAR point cloud, and multi-sensor fusion data to support perception models.
• Apply strong understanding of autonomous driving scenarios such as lane detection, vehicle tracking, pedestrian movement, free space estimation, and object classification.
• Translate real-world edge cases into structured labelling guidelines tailored for different autonomy levels (L2L4).
• Drive the end-to-end execution of annotation projects, including planning, resource allocation, execution, quality checks, and final delivery.
• Ensure timely delivery of high-quality, accurately labelled datasets that meet client SLAs.
• Define and track project KPIs such as annotation throughput, QA pass rates, rework percentages, and turnaround times.
• Ability to present Technical solutions, pilot walkthroughs, and technical discussions during pre-sales or delivery.
• A good understanding of emerging trends in ADAS / Autonomous space, such as simulation data, open datasets.
• Collaborate with business development teams to support proposals, solutioning, and client onboarding.

Key Skills & Competencies :

Technical & Domain Skills :

Qualifications :

(ref : hirist.tech)