#49916 LiDAR 3D Annotation & Data Labeling Specialist

At Mindy Support, we are a global leader in data annotation and business process outsourcing, powering cutting-edge AI and machine learning solutions for Fortune 500 companies and fast-growing tech innovators. We foster a collaborative, remote-first environment where detail-oriented professionals can build long-term tech-adjacent careers. 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. High-performing contributors will gain priority access to advanced, higher-paying autonomous vehicle and spatial AI projects. ### **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 dynamic objects across multi-frame LiDAR scenes, ensuring accurate pitch, roll, yaw, and heading vector consistency. ### **What We’re Looking For** - **Experience:** Minimum 6+ months of 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 , 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. - **Professional Mindset:** Reliable, detail-oriented, and comfortable working in a structured, quality-driven environment. ### **Onboarding & Certification Process** 1. **Training & Practice:** Review spatial guidelines, master hotkeys, and practice on sample 3D point cloud datasets. 2. **Benchmark Test:** Annotate 3–5 3D LiDAR tasks within quality and speed benchmarks. 3. **Paid Certification:** Complete a ~1-hour onboarding process (paid upon entry to production tasks). 4. **Production:** Access ongoing paid project batches immediately upon passing certification. ### **Project & Payment Details** - **Work Schedule:** 25–40 hours per week (long-term contract, though occasional short idle times may occur). - **Payment Methods:** PayPal, Bank Transfer, or Payoneer. - **Equipment Requirements:** Stable internet connection, a capable PC/laptop for 3D rendering, and screen-recording software compatibility.