About KorrAI

Key Responsibilities

• Process, analyze, and visualize geospatial data from diverse sources (satellite, drone, IoT, etc.).
• Develop and maintain automated geospatial pipelines using Python or similar languages.
• Work with remote sensing datasets (e.g., Sentinel, Landsat, commercial VHR), vector datasets, and raster processing.
• Integrate GIS layers into spatial databases and applications for client delivery.
• Support the production of high-quality maps, dashboards, and technical reports.
• Collaborate with data scientists on model inputs, validation datasets, and visualization of outputs.
• Assist with spatial modeling, classification, and risk mapping for mining, insurance, or infrastructure monitoring projects.

Required Qualifications

• Bachelor’s or Master’s degree in GIS, Geography, Environmental Science, Remote Sensing, Computer Science, or related field.
• Proficiency in Python for geospatial data processing (e.g., using geopandas, rasterio, shapely, fiona, pyproj, xarray, GDAL).
• Experience with QGIS and/or ArcGIS.
• Familiarity with handling large-scale satellite datasets and spatial data formats (GeoTIFF, GeoJSON, COGs, etc.).
• Strong understanding of coordinate reference systems (CRS), reprojection, and spatial analysis techniques.
• Version control experience using Git.

Preferred Qualifications

• Experience working with cloud-based geospatial tools like Google Earth Engine, STAC APIs, or Planetary Computer.
• Familiarity with web mapping tools (e.g., Leaflet, Folium, Mapbox, or CesiumJS).
• Understanding of InSAR, NDVI/NDWI workflows, or machine learning for geospatial applications.
• Exposure to databases like PostGIS or spatial REST APIs.

What We Offer

• Opportunity to work at the cutting edge of geospatial AI and remote sensing.
• Collaborative and mission-driven team.
• Remote-first, flexible working culture.
• Competitive salary and growth opportunities.