What are the responsibilities and job description for the Spatial Data Ops position at Levit AI?
GIS Analyst – Spatial Data Ops
We're building an agentic robotic-based observability platform for the physical world, focused on developing advanced physical intelligence. Our mission is to integrate robotics, AI, and high resolution spatio-temporal intelligence to make the physical world more observable, understandable, and actionable.
We need a GIS Analyst who can wrangle massive multi-modal datasets (High resolution RGB, LiDAR, DEM, DTM, thermal), keep them clean, aligned, and useful, and drive our mapping pipeline end-to-end — from mission planning to final QA.
What you'll do:
- Aggregate, clean, and geo-register data from in-house robotic platforms, vendors, and open sources.
- Manage multi-source geospatial datasets and ensure they're analysis-ready.
- Plan, execute, and monitor mapping missions using our in-house tools.
- Build automation scripts (Python) to supercharge data processing.
- Help grow the data flywheel that powers our AI robotics stack.
What you bring:
- Strong GIS chops — projections, CRS, geo-registration, QA/QC.
- Experience with tools like QGIS, GDAL, GeoPandas, Rasterio, etc.
- Python scripting for geospatial workflows.
- (Bonus) High resolution RGB mapping, photogrammetry, LiDAR processing.
This is a hands-on, high-impact role where you'll work directly with some of brightest minds in robotics, AI, spatial intelligence. You'll see your work come to life in the field — literally.
If geospatial data is your playground and robots are your jam, let's talk.