QGIS Specialist
Handshake AI · Region specific · Coding / software engineering
QGIS Specialist is an open role at Handshake AI, with pay listed as Up to $125/hr.
Applications open on Handshake AI’s own site. How we make money.
At a glance
- Pay
- Up to $125/hrStated by Handshake AI
- Location
- Not stated in the listing
- Work type
- Coding / software engineering
- Listed
- Since Jul 20, last confirmed Oct 24
How the pay compares
Higher than 86% of the 130 distinct hourly rates advertised for Coding / software engineering roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Handshake AI’s listing
“Opportunity Overview Handshake is recruiting GIS specialists with experience in geospatial analysis and mapping using QGIS to contribute to an AI research project.”
Show the full listing
Opportunity Overview
Handshake is recruiting GIS specialists with experience in geospatial analysis and mapping using QGIS to contribute to an AI research project. In this project, you’ll apply your expertise to help improve how AI understands real-world professional tasks within your domain, such as spatial analysis, cartography, geospatial data management, and remote sensing. This is an ongoing, project-based opportunity you can take on alongside your current role.
What You’ll Do
- Use your GIS experience to create tasks that today’s top AI models can’t solve based on real workflows, such as vector and raster analysis, coordinate reference system handling and reprojection, geoprocessing and spatial joins, georeferencing, map layout and cartographic design, and automation with PyQGIS or the Processing toolbox
- Review and evaluate AI-generated responses
- Provide clear, structured written feedback to help improve AI model performance
- Work remotely and complete tasks at your own pace, with no set schedule or minimum hour requirement
Qualifications
- Degree: Completed Bachelor’s degree or higher in a relevant field, such as Geography, Geographic Information Science, Environmental Science, Urban Planning, Civil Engineering, Geology, or a closely related discipline
- Tool experience: At least 2 years of work experience using QGIS or an equivalent tool
Additional qualifications (not required, but strengthen your application)
- Experience across multiple geospatial tools and workflows, such as ArcGIS, PostGIS, GDAL/OGR, GRASS GIS, Google Earth Engine, or Python libraries for geospatial analysis (GeoPandas, Rasterio, Shapely)
- Professional experience at an environmental consultancy, government agency, utility, urban planning or engineering firm, or research lab, or a portfolio of published maps or spatial analysis projects
Required for all applicants
- Must have US work authorization
- Strong written communication and attention to d
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Frequently asked questions
How do I apply for the QGIS Specialist role at Handshake AI?
Applications go through Handshake AI's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Handshake AI's access model is "Apply" (Apply to listed opportunities). This listing was first seen here on July 20, 2026 and was still live at the last check.
Is the QGIS Specialist role at Handshake AI remote?
Handshake AI left the location field empty on this listing, so there is nothing to report rather than something we've withheld. The constraint that still applies is Handshake AI's overall coverage: Many roles require US work authorisation.
What does the QGIS Specialist role at Handshake AI pay?
Handshake AI lists this role's pay as Up to $125/hr, quoted from the listing rather than estimated.
What kind of work is QGIS Specialist?
Coding / software engineering. Generalist and specialist AI evaluation and training projects
Is Handshake AI a legitimate AI-training platform?
Handshake AI fellowship / opportunity network - and that relationship is rated "Confirmed" here because it can be checked against joinhandshake.com rather than taken on Handshake AI's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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