Geospatial Research & Analysis Experts
About The Position
An enterprise client is seeking experienced geospatial professionals and researchers for a freelance AI-training project focused on developing expert-level analytical workflows. Freelancers will review complex geospatial questions, identify missing information, make reasonable assumptions, and create detailed workflows for solving real-world spatial problems. Depending on assessment results and client requirements, selected candidates may be assigned to an Operator or Quality Assurance (QA) role. The work is fully remote and project-based, with flexible scheduling. Work is expected to begin immediately, with no projected end date. Work volume and availability may vary according to project needs, and an active task pool is required before work can begin. Operator work pays $35 per hour; QA work pays $40 per hour. The client's assessment results determine eligibility and placement. Project work, onboarding, and payments are handled directly through the client's platform, Invisible; completing the assessment does not guarantee selection.
Requirements
- Bachelor's, Master's, or PhD degree in a relevant field, such as Geographic Information Science (GIS) or Geospatial Science; Geography with a focus on GIS or spatial analysis; Geomatics; Remote Sensing or Earth Observation; Geospatial Engineering; or a closely related discipline.
- Strong geospatial expertise gained through professional experience, academic research, or both.
- Experience working with geospatial data and tools such as QGIS, ArcGIS, GeoPandas, Google Earth Engine, or Google Earth.
- Experience applying geospatial analysis to real-world problems or research projects.
- Ability to evaluate complex questions, identify missing information, and explain analytical assumptions and methods.
- Strong written communication skills in English.
- Excellent attention to detail and ability to follow project guidelines.
Nice To Haves
- Experience working as a GIS Analyst, Geospatial Engineer, GIS Data Analyst, or Geospatial Researcher.
- Experience with crisis response, damage assessment, agriculture, site selection, market expansion, supply chain analysis, or forecasting.
- Additional coursework or training in geospatial frameworks, tools, and libraries.
- Previous experience with AI training, data annotation, or quality assurance projects.
Responsibilities
- Review geospatial queries and identify unclear terms, missing information, and other gaps that may affect the analysis.
- Suggest clarifications and reasonable assumptions to turn complex questions into well-defined geospatial problems.
- Develop detailed, step-by-step workflows for geospatial analysis.
- Identify appropriate data sources, tools, analytical methods, and validation steps.
- Define expected deliverables, such as maps, reports, and other outputs.
- Apply geospatial knowledge to real-world scenarios, including crisis response, damage assessment, agriculture, site selection, market expansion, supply chain analysis, and forecasting.
- For QA assignments, review completed work, check its quality, and provide feedback based on project guidelines.
