Senior Manager- Annotation And Labelling- 15+ Years

2 days ago

Noida, India RMSI Full time

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 (L2–L4).
- 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:

- Deep knowledge of annotation types: bounding boxes, polygons, cuboids, semantic segmentation, LiDAR point cloud labelling, object tracking.
- Familiarity with sensor modalities (camera, LiDAR, radar), time-synced data alignment, and calibration workflows.
- Understanding of the perception stack in AD/ADAS systems: from data ingestion to object detection and decision-making.
- Proven ability to lead cross-functional teams across geographies and deliver large-scale annotation projects.
- Strong stakeholder management, reporting, and documentation skills.
- Proficient in industry-leading annotation tools and open-source platforms.
- Familiarity with ML training feedback loops, model evaluation metrics, and how data quality affects AI performance

Qualifications:

- Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Minimum 8+ years of experience in annotation/labelling, with at least 4-5 years in autonomous or ADAS domain.
- Experience managing teams and leading high-complexity annotation projects.
- Project management certifications (PMP, Agile, Six Sigma) are of added advantage

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