Agricultural Satellite Analyst

Crop Identification SpecialistProject OverviewWe are seeking a skilled Crop Identification Specialist to classify crop types from satellite imagery using high-quality crop labels derived from street-view images of fields.This project aims to provide a scalable ground-truth dataset for agricultural research and AI training.ResponsibilitiesAnalyze satellite and street-view images to determine crop type or classify areas as uncultivated based on visual cues.Follow established workflows and annotation protocols to ensure consistent and accurate labeling.Apply domain knowledge to identify crop types even under partial occlusion.Maintain accuracy, attention to detail, and consistency across large volumes of images.Qualifications and SkillsAcademic Background: Bachelor's degree (or higher) in Agriculture, Agronomy, Crop Science, Agricultural Engineering, Horticulture, or a related field.Hands-on Experience: Knowledge in Geography, Remote Sensing, Environmental Science, or GIS with exposure to crop identification.Agriculture Experience: Previous involvement in crop identification, agricultural surveys, or image annotation.Visual Identification Skills: Ability to distinguish crop types from both partial and full views.BenefitsThis role offers the opportunity to work with cutting-edge technology and contribute to a significant project in agricultural research.If you have a strong background in agriculture and remote sensing, we encourage you to apply.