Soil and Water Conservation Scientist

Alignerr is seeking a Soil and Water Conservation Scientist to evaluate AI systems focused on sustainable land and water management. This remote, flexible contract role requires expertise in soil science, hydrology, and conservation planning. Responsibilities include reviewing AI-generated scenarios for accuracy and providing feedback to enhance scientific rigor. The position offers 10-40 hours/week with potential for ongoing work, emphasizing independent and asynchronous work.
Soil and Water Conservation Scientist (AI Training)About The RoleWere looking for experienced 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 critical environmental topics — from erosion control to watershed management.This is a fully remote, flexible contract role where your real-world knowledge makes a measurable difference in the quality of AI used by researchers, planners, and conservationists worldwide.Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: RemoteCommitment: 10–40 hours/weekWhat Youll 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, oversimplifications, or impractical recommendations in AI outputsProvide clear, structured feedback to improve scientific rigor, clarity, and real-world applicabilityWork independently and asynchronously on your own schedule to meet project deadlinesWho 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 land conservation techniquesAble to critically evaluate applied environmental science reasoning and spot errors others might missComfortable reviewing and annotating technical written content with precision and consistencySelf-motivated and reliable when working independently in a remote, async environmentNice 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 data annotation platformsWhy Join UsWork on cutting-edge AI projects that intersect environmental science and emerging technologyFully remote and flexible — work on your own schedule from anywhereFreelance perks: autonomy, variety, and collaboration with experts across the globeContribute to meaningful work that helps AI get environmental science rightPotential for ongoing work and contract extension as projects grow