QGIS Specialist (Geospatial AI Training)

You will use professional QGIS and GIS knowledge to create difficult geospatial tasks, assess AI-generated responses, and explain your decisions in clear written feedback. The work covers spatial analysis, cartography, geospatial data management, remote sensing, and related professional workflows.

Assignments are remote and asynchronous. You can complete project work independently at your own pace.

• Build tasks involving vector and raster analysis, coordinate reference systems, reprojection, geoprocessing, spatial joins, and georeferencing.
• Develop or assess work involving map layouts, cartographic design, PyQGIS, and the QGIS Processing toolbox.
• Review AI-generated responses for technical accuracy and completeness.
• Give precise, structured written feedback and explain complex geospatial decisions clearly.

What it pays and takes

This is remote, part-time project work with no set schedule or minimum hour requirement. It is open to candidates in the United States.

• Pay: Up to $125 per hour for qualifying work.
• Experience: At least two years using QGIS or an equivalent geospatial tool.
• Education: A bachelor's degree or higher in geography, geographic information science, environmental science, urban planning, civil engineering, geology, or a related field.
• Skills: Strong written communication, attention to detail, and the ability to explain complex geospatial concepts clearly.
• Helpful tools: ArcGIS, PostGIS, GDAL/OGR, GRASS GIS, Google Earth Engine, GeoPandas, Rasterio, or Shapely.
• Relevant background: Environmental consulting, government, utilities, urban planning, engineering, or research.
• A portfolio of published maps or spatial analysis projects is helpful.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

OpenTrain is a platform where people find AI training projects, build a profile, and apply in minutes. AI training work uses human judgment to prepare examples, review model responses, and give feedback that helps artificial intelligence systems improve.