LiDAR 3D Annotation & Data Labeling Specialist

We are currently looking for LiDAR 3D Annotation & Data Labeling Specialists to join our team on a long-term project focused on 3D LiDAR cuboid annotation and spatial segmentation.

What You’ll Do· 3D Point Cloud Bounding Box Annotation: Fit tight 3D cuboids around objects (vehicles, pedestrians, cyclists, static structures) across frame sequences with high spatial accuracy.

· 3D Semantic Segmentation: Label individual points within dense point clouds to define complex environmental geometry with zero gaps or overlaps.

· Multi-Sensor QA & Verification: Review, refine, and audit AI-generated 3D bounding boxes and sensor fusion alignments (LiDAR overlaid with 2D camera feeds).

· Object Tracking & Trajectory Consistency: Track energetic objects across multi-frame LiDAR scenes, ensuring accurate pitch, roll, yaw, and heading vector consistency.

What We’re Looking For· Experience: Minimum 1+ yearof hands-on experience in 3D LiDAR point cloud annotation, 3D segmentation, or multi-sensor data labeling.

· Tool Proficiency: Proven expertise using 3D spatial software such as Segments.ai, BasicAI, Cognic, Scale AI, CVAT,



or equivalent platforms.

· Quality Standards: Ability to maintain a 95%+ accuracy rate, strictly adhering to tight cuboid boundary rules, point-count density thresholds, and occlusion handling.

· Precision: Ability to segment visually verifiable 3D spatial geometry objectively without unverified assumptions.

· Workflow Efficiency: Skilled in using software shortcuts and hotkeys to execute 3D sequence workflows while running background screen-recording tools.

Onboarding & Certification Process1. Training & Practice: Review spatial guidelines, master hotkeys, and practice on sample 3D point cloud datasets.

- Benchmark Test: Annotate 3–5 3D LiDAR tasks within quality and speed benchmarks.

Project & Payment Details· Work Schedule: 25–40 hours per week.

· Payment Methods: Bank Transfer, PayPal or UPI.

· Equipment Requirements: Stable internet connection, a capable PC/laptop for 3D rendering, and screen-recording software compatibility.

Please share your resume at [email protected]

📌 3D LiDAR Annotation Specialist (Varanasi)
🏢 QA Solvers
📍 Varanasi