Senior Manager- Annotation and labelling
- Rmsi
- 10 - 20 years
- Noida, Gurugram
- 25 days ago
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Job Description
About RMSI:-
RMSIs AI-powered spatial intelligence solutions in mapping, asset integrity, network optimization, and climate risk modeling help organization enable operational autonomy, and drive sustainable growth.
With a workforce of over 6000 employees, RMSI stands as one of the largest employers in the geospatial industry and is consistently recognized as a top employer. Our operations include three state-of-the-art development centers in India and six fully owned international subsidiaries in the US, Canada, Australia, the UK, the Middle East, and Bahrain.
For more information about RMSI, please visit www.rmsi.com
Role:-
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.
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 meets 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.
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
Skills & Qualification
- Bachelor's or Masters 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: RmsiLocation(s): Noida, Gurugram
Keyskills: Adas Mapping Data Annotation Annotation
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