GIS software engineer/

Volunteer GIS Software Engineer (MVP – Yield Prediction) – Food Aid ProjectWe are seeking a volunteer GIS Software Engineer to help build an MVP for a yield prediction and agricultural intelligence system supporting global food security initiatives.The goal is to develop early-stage geospatial tools that combine GIS, remote sensing, and agricultural data to estimate crop yields and identify production risk zones. This MVP will support better decision-making in sourcing, logistics, and food aid planning.Responsibilities:* Build and support GIS workflows for yield estimation and spatial analysis* Integrate remote sensing, weather, soil, and historical yield datasets* Help design and develop an MVP geospatial yield prediction model* Develop data pipelines and visualization layers for actionable insights* Collaborate with software engineers, analysts, and domain expertsPreferred experience:* Experience with GIS platforms (ArcGIS Pro, QGIS, or similar)* Strong Python skills for geospatial data processing* Experience working with LLMs and AI tools (OpenAI, Anthropic, etc.)* Familiarity with remote sensing or agricultural datasets is a plus* Interest in food systems, agriculture, predictive modeling, or humanitarian logisticsThis is a volunteer, impact-focused role contributing to an MVP that will evolve into a decision-support system for food aid, trade, and agricultural resilience.