Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Senior Manager- Annotation And Labelling RMSI

8.0 - 12.0 years

0 Lacs

noida, uttar pradesh

On-site

As a seasoned and technically astute Manager / Sr. Manager with expertise in Annotation & Labelling for Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS), your role will involve managing complex, large-scale data labelling workflows across multi-sensor environments (Camera, LiDAR, Radar). You will engage with global AI/ML engineering teams and enterprise clients to ensure high-quality annotation projects across 2D, 3D, and semantic data pipelines. Key Responsibilities: - Manage annotation pipelines for image, video, LiDAR point cloud, and multi-sensor fusion data to support perception models. - Apply understanding of autonomous driving scenarios like lane detection, vehicle tracking, pedestrian movement, free space estimation, and object classification. - Translate real-world edge cases into structured labelling guidelines for different autonomy levels (L2-L4). - Drive end-to-end execution of annotation projects including planning, resource allocation, quality checks, and final delivery. - Ensure timely delivery of high-quality, accurately labelled datasets meeting client SLAs. - Define and track project KPIs such as annotation throughput, QA pass rates, rework percentages, and turnaround times. - Present technical solutions, pilot walkthroughs, and technical discussions during pre-sales or delivery. - Stay updated on emerging trends in ADAS/Autonomous space such as simulation data and open datasets. - Collaborate with business development teams for proposals, solutioning, and client onboarding. Key Skills & Competencies: - Deep knowledge of annotation types like bounding boxes, polygons, cuboids, semantic segmentation, LiDAR point cloud labelling, and 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 decision-making. - Proven ability to lead cross-functional teams globally for large-scale annotation projects. - Strong stakeholder management, reporting, and documentation skills. - Proficiency in industry-leading annotation tools and open-source platforms. - Familiarity with ML training feedback loops, model evaluation metrics, and data quality impact on AI performance. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related fields. - Minimum 8+ years of annotation/labelling experience, with at least 4-5 years in autonomous or ADAS domain. - Experience in managing teams and leading high-complexity annotation projects. - Project management certifications (PMP, Agile, Six Sigma) are an added advantage.,

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