3D Point Cloud Annotators (India)

3D Point Cloud Annotators (India)

15 Oct
|
DatoviaPlayHouse
|
India

15 Oct

DatoviaPlayHouse

India

Company Description DatoviaPlayHouse is a global freelance marketplace that connects businesses with skilled professionals and AI-powered solutions across borders. The platform supports collaboration in more than 300 languages, focusing on services such as localization, transcription, AI data services, and digital operations. By combining human expertise with advanced technology, DatoviaPlayHouse delivers accurate, scalable, and cost-effective solutions tailored to modern business needs.

Its diverse network of global talent helps organizations expand into new markets, streamline workflows, and drive faster, smarter growth. DatoviaPlayHouse offers flexible, remote opportunities for professionals interested in contributing to high-impact digital and AI projects.

Role Description The 3D Point Cloud Annotator (India) role is a full-time remote position focused on preparing high-quality labeled data for AI and machine learning applications. Day-to-day tasks include visually inspecting 3D point cloud datasets, identifying and tagging objects or regions of interest, and drawing precise bounding shapes or segmentation labels using specialized annotation tools. The annotator will follow project guidelines to ensure consistency, apply quality checks on completed annotations, and revise work based on feedback from project leads or quality reviewers.

The role also involves collaborating with team members through online platforms, reporting progress, and adhering to data security and confidentiality standards.



As projects and tools evolve, the annotator is expected to adapt to new workflows, learn updated labeling protocols, and maintain high productivity while working independently.

Qualifications

- Ability to work with 3D visualization tools or CAD/3D software, including navigating, rotating, and interpreting 3D environments and point clouds.
- Robust attention to detail and visual accuracy, with the ability to distinguish shapes, distances, and object boundaries in complex 3D scenes.
- Comfort with digital workflows and data platforms, including using web-based annotation tools, project dashboards, and collaboration systems.
- Basic understanding of AI/ML data annotation concepts (e.g., labels, classes, segmentation, bounding shapes) and willingness to follow detailed guidelines.
- Effective written communication skills in English for interpreting instructions, documenting issues, and providing feedback to coordinators.
- Ability to work independently in a remote setting, manage time effectively, and meet productivity and quality targets.
- Reliable access to a computer and stable high-speed internet suitable for handling large 3D datasets and cloud-based tools.
- Prior experience in data annotation, mapping, GIS, 3D modeling, or related fields is an advantage but not strictly required.
- Familiarity with autonomous driving, robotics, or spatial data (LiDAR, depth sensors) is a plus for understanding project contexts.
- Minimum education: completed secondary

📌 3D Point Cloud Annotators (India)
🏢 DatoviaPlayHouse
📍 India

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