Soil and Water Conservation Scientist (AI Training)About The RoleWe're looking for soil and water conservation scientists to help evaluate and improve AI systems trained on sustainable land and water management practices. Your scientific expertise will directly shape how AI understands, reasons about, and communicates complex conservation topics — making a real impact on the quality and reliability of next-generation AI tools used in environmental science.Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview and evaluate AI-generated soil and water conservation scenarios for scientific accuracy and practical validityAssess content related to erosion control, watershed management, soil health, and conservation planningIdentify flawed assumptions, outdated methodologies, or impractical recommendations in AI outputsProvide clear, structured feedback to improve scientific rigor, depth, and clarityWork independently and asynchronously to complete task-based assignments on your own scheduleWho You Are3+ years of hands-on experience in soil science, hydrology, conservation planning, or a closely related fieldStrong working knowledge of soil processes, water systems, and applied conservation techniquesAble to critically evaluate applied environmental science reasoning and identify where AI goes wrongComfortable reviewing and annotating technical written content with precision and claritySelf-motivated and reliable when working independently on remote, asynchronous projectsNice to HaveGraduate degree in Soil Science, Hydrology, Environmental Science, or a related disciplineExperience with field assessments, GIS tools, or conservation planning softwareFamiliarity with AI systems, content evaluation workflows, or technical writingWhy Join UsWork on cutting-edge AI projects with top research labs and help define how AI handles real-world environmental scienceFully remote and flexible — work on your own schedule, from anywhereFreelance perks: autonomy, variety, and collaboration with experts across the globeContribute to meaningful work that improves AI accuracy in fields that matter for the planetPotential for ongoing work and contract extension as new projects launch