3D Data Annotator
Role details
Job location
Tech stack
Job description
Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations., Overland AI is looking for a meticulous and spatially-aware 3D Data Annotator to join our team. You will work directly with 3D data captured from our autonomous vehicle platforms, providing the high-quality, ground-truth annotations that drive our AI models., * 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.
Requirements
Do you have experience in Version control?, This role requires a strong, intuitive understanding of 3D space. It is an excellent fit for professionals who already have experience navigating complex spatial data, such as those with backgrounds in GIS, game level design, 3D modeling, or architecture., * 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), * 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).
Benefits & conditions
Pulled from the full job description
- Parental leave
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance, The annual base pay for this position is $90,000 - $130,000
Benefits
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Equity compensation
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Best-in-class healthcare, dental, and vision plans
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Flexible PTO
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401(k) with company match
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Parental leave