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3D Data Jobs (NOW HIRING)

Data Capture: Capture 3D data using company-supplied laser scanning equipment such as Leica RTC 360 and BLK 360 scanners. * Data Registration: Register the captured 3D data using company-supplied ...

Data Capture: Capture 3D data using company-supplied laser scanning equipment such as Leica RTC 360 and BLK 360 scanners. * Data Registration: Register the captured 3D data using company-supplied ...

Experience with 2D/3D data analysis, including point cloud processing and image annotation. * Proficiency in Python and relevant libraries (e.g., OpenCV, PCL, NumPy). * Familiarity with 3D geometry ...

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and ...

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3D Data information

What are the key skills and qualifications needed to thrive as a 3D Data Specialist, and why are they important?

To thrive as a 3D Data Specialist, you need strong spatial reasoning, proficiency in 3D modeling concepts, and a background in computer science, engineering, or a related field. Familiarity with tools like Autodesk Maya, Blender, CAD software, and experience with 3D data formats and GIS systems are typically required. Attention to detail, problem-solving abilities, and effective communication help professionals excel in collaborating with multidisciplinary teams and managing complex datasets. These skills and qualities are crucial for producing accurate 3D representations and supporting decision-making in industries such as architecture, gaming, and geospatial analysis.

What are some typical challenges faced by professionals working with 3D data, and how can they be addressed?

Professionals working with 3D data often encounter challenges such as managing large file sizes, ensuring data accuracy, and integrating data from multiple sources. Effective collaboration with cross-functional teams—such as software engineers, designers, and data analysts—is key to overcoming these hurdles. Utilizing efficient data processing pipelines and staying updated on the latest 3D modeling tools can help manage complexity and improve workflow. Proactive communication and continuous learning are essential for adapting to evolving project requirements and technologies.

What is 3D data?

3D data refers to information that describes the shape, structure, and appearance of objects in three-dimensional space. This data is often captured through technologies like 3D scanning, photogrammetry, or computer-generated modeling, and it is commonly used in industries such as gaming, animation, engineering, and healthcare. 3D data can include coordinates, textures, colors, and other attributes that help create realistic digital representations of physical objects. Managing and analyzing 3D data requires specialized software and expertise.

What is the difference between 3D Data vs 3D Modeler?

Aspect3D Data3D Modeler
Required skillsData collection, processing, and management of 3D datasetsCreating, designing, and modeling 3D objects and environments
Work environmentData labs, scanning sites, software for data processingDesign studios, animation, gaming, and film production
Common toolsLiDAR, photogrammetry software, CAD for data handlingBlender, Maya, 3ds Max for modeling and rendering
Industry usageGeospatial, surveying, virtual reality, simulationEntertainment, gaming, product design, architecture

While 3D Data involves collecting and managing raw 3D information, 3D Modelers focus on creating visual 3D models for various media. Both roles require technical skills but serve different stages of the 3D content pipeline.

More about 3D Data jobs

3D Data Annotator (3‑Month Temp‑to‑Perm)

Overland AI

Seattle, WA • On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
Overland AI is a company transforming land operations for modern defense, leveraging advanced research in robotics and machine learning. They are seeking a meticulous 3D Data Annotator to work with 3D data captured from autonomous vehicle platforms, providing high-quality annotations that drive AI models.
Responsibilities:
• Use specialized software tools to accurately label and annotate objects, terrains, and surfaces within complex 3D datasets.
• Interpret raw point cloud data and 3D environments captured by our autonomous vehicle sensor suites.
• Maintain strict adherence to annotation guidelines to ensure high standards of data quality and consistency.
• Collaborate with the engineering team to refine labeling guidelines and provide feedback to improve tooling workflows.
• Identify and document edge cases, anomalies, or unexpected variables within the collected sensor data.
Qualifications:
Required:
• 3+ years of experience in 3D annotation, 3D modeling, GIS, level design, architectural drafting, or related spatial data field
• Demonstrated experience using at least one 3D software tool (e.g., Blender, Maya, AutoCAD, ArcGIS, Unreal Engine, Unity, CloudCompare, or similar)
Preferred:
• Direct experience with LiDAR point cloud processing, photogrammetry workflows, or autonomous vehicle sensor data
• Proven ability to interpret and manipulate point cloud data, 3D meshes, or volumetric datasets
• Demonstrated proficiency in navigating, manipulating, and interpreting 3D spatial environments.
• Track record of producing annotation, modeling, or drafting work that meets defined quality standards and specifications
• Proven ability to follow technical guidelines and maintain consistency across large datasets (demonstrated through prior work samples or references)
• Familiarity with version control or annotation quality assurance processes
• Experience collaborating with engineering or data science teams in an iterative development environment
• Prior experience working specifically with autonomous vehicle data, LiDAR point clouds, or photogrammetry.
• Familiarity with common 3D, GIS, or engine software tools (e.g., Blender, Maya, AutoCAD, ArcGIS, Unreal Engine, Unity).
Company:
Overland AI develops autonomous ground vehicle technology for tactical and operational applications. Founded in 2022, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.