> Markdown version of [/jobs/ext/4029593-geospatial-data-operations-specialist](https://www.wearedevelopers.com/jobs/ext/4029593-geospatial-data-operations-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Geospatial Data Operations Specialist - **Company:** OnX - **Location:** United States (Remote available) - **Salary:** $52,000.0 - $57,200.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, ArcMap, Apache POI, Quantum GIS (QGIS), Spatial Data Infrastructures, Data Pipelines - **Published:** October 30, 2026 - **Apply:** https://startup.jobs/geospatial-data-operations-specialist-fixed-term-fish-onx-10614200 ## About the Role * Education: Certificate, Associate's Degree or Bachelor's degree in Geography, Geospatial Analysis or closely related field. * Experience with desktop geospatial software such as QGIS or ArcMap. * Ability to follow instructions as provided in process documentation. * Detail-oriented, highly organized self-starter. * Patience for repetitive tasks. * Ability to maintain a positive, helpful, constructive attitude. * Ability to establish and maintain efficient working relationships with other onX employees. * Desire to contribute to a strong team dynamic., Though not required, we would be thrilled to consider candidates with any of the following: * Experience working with bathymetry, fisheries research, and/or points of interest (POI) data. * Experience with water and fishing related projects in GIS platforms. ## Description * Manual curation of high-value datasets within onX's web-based GIS editing platforms. * Process spatial data within our established processing pipelines. * Conduct quality control checks on spatial data to ensure accuracy and completeness. * Communicate with the team leads to address issues. * Critically analyze existing processes and make suggestions for improvements. * Provide support to ad hoc data acquisition, curation and processing needs. * Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.