to join our geospatial team. Your primary role will involve annotating and labeling 3D point cloud data (LiDAR) to support projects in autonomous vehicles, urban planning, environmental mapping, and more. The ideal candidate brings a minimum of 1 year of relevant experience and has strong spatial awareness and annotation skills.
Key Responsibilities
Label and categorize objects in LiDAR point cloud data--e.g., vehicles, pedestrians, buildings, trees, and terrain features--using 3D bounding boxes, semantic segmentation, polygons, or polylines expertia.ai+11ZipRecruiter+11Indeed+11
Review and refine annotations to ensure strict compliance with project guidelines and quality standards Indeed
Collaborate closely with data scientists, GIS analysts, and project managers to clarify requirements and ensure accuracy ZipRecruiter+1ZipRecruiter+1
Participate in quality assurance processes, including peer reviews and feedback sessions SuperAnnotateSubul Data Annotation
Maintain detailed documentation of annotation workflows, tool usage, and annotation conventions Macgence+7SmartOne.ai+7Indeed+7
Suggest improvements for annotation efficiency, consistency, and tool usability
Required Qualifications
Minimum
1 year experience
in LiDAR data annotation or review within a GIS or geospatial context Labellerr+13Indeed+13Indeed+13
Familiarity with annotation tools/platforms--such as Labelbox, Supervisely, Scale?AI, 3D Slicer, or similar expertia.ai+10SmartOne.ai+10ZipRecruiter+10
Strong attention to detail and spatial reasoning; ability to accurately distinguish overlapping or occluded objects Macgence+6ZipRecruiter+6ZipRecruiter+6
Proven experience with LiDAR point clouds: creating 3D bounding boxes, semantic segmentation, and using polylines or polygons Subul Data Annotation+2labelyourdata.com+2SmartOne.ai+2
Experience in quality control processes and applying consistent annotation standards Indeed+2labelyourdata.com+2Subul Data Annotation+2
Preferred Skills
Background in GIS, remote sensing, civil engineering, or a related field
Basic understanding of point cloud formats (e.g., LAS, LAZ, PCD)
Ability to work efficiently under tight deadlines while maintaining high accuracy
Strong communication skills for effective collaboration
What We Offer
Opportunity to work on impactful projects in autonomous driving, environmental analysis, and urban infrastructure
Collaborative and innovative work environment
Competitive compensation with benefits (adjust based on full-time vs. contract basis)
Growth and training opportunities in advanced geospatial technologies
How to Apply
Send your resume, a brief cover letter, and any relevant portfolio or examples of previous annotation work to
[nilofar@bigwigstech.com]
with the subject line
"GIS LiDAR Annotator Application."
We're excited to see how your skills in LiDAR annotation can elevate our projects!
Job Type: Full-time
Pay: ?10,000.00 - ?15,000.00 per month
Benefits:
Flexible schedule
Provident Fund
Schedule:
Day shift
Supplemental Pay:
Overtime pay
Performance bonus
Yearly bonus
Work Location: In person
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