This remote contract opportunity is designed for experienced GIS professionals who regularly work with geospatial datasets and mapping software. Selected contributors will perform authentic GIS workflows using QGIS while recording their screen activity. These recordings will help train AI systems to understand how professionals analyze geographic data, create maps, and perform spatial analysis using modern GIS tools.
The tasks mirror real-world geospatial analysis workflows rather than simplified exercises. Contributors will demonstrate how professionals load datasets, style map layers, conduct spatial queries, and generate analytical maps. The work will follow structured written instructions while allowing professionals to apply their normal workflow within QGIS.
Responsibilities:
- Load, organize, and style geographic datasets using QGIS
- Perform spatial analysis tasks such as buffers, overlays, and spatial queries
- Record your screen while completing geospatial workflows
- Create thematic maps such as choropleth or analytical visualizations
- Work with raster, vector, and web-based map services such as WMS layers
- Follow written task instructions to complete realistic GIS analysis tasks
Requirements:
- Professional experience using QGIS for geospatial analysis and mapping
- Strong understanding of vector and raster geospatial data workflows
- Ability to perform spatial analysis including buffers, queries, and overlays
- Written English proficiency for understanding project instructions
- Ability to record your screen using standard screen recording software
- Attention to detail and ability to follow structured analytical workflows
Benefits:
- Flexible schedule allowing you to complete tasks independently
- Fully remote work available from anywhere
- Competitive hourly compensation for experienced GIS professionals
- Opportunity to contribute to advanced AI training initiatives
This contract role offers experienced GIS professionals the opportunity to contribute real-world geospatial workflows that help train next-generation AI systems.