Natural Resource Conservation Scientist

Natural Resource Conservation Scientist (AI Training)About The RoleAI is rapidly expanding into environmental science — and it needs experts like you to get it right. We're looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on conservation science, land management, and environmental decision-making.Your real-world expertise will directly shape how AI understands ecosystems, interprets land use data, and recommends conservation strategies — making a meaningful impact on how this technology serves the planet.Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview conservation science questions and scenarios used in AI training datasetsEvaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversityAssess whether AI recommendations reflect real-world conservation practices and sound scientific reasoningIdentify gaps, errors, or misleading outputs and provide structured, detailed feedbackWork independently and asynchronously on your own scheduleWho You Are3+ years of professional experience in natural resource conservation or environmental scienceStrong working knowledge of ecosystems, land management principles, and conservation frameworksAble to critically evaluate scientific reasoning and applied recommendationsComfortable reviewing structured written content and providing clear, detailed feedbackSelf-motivated and reliable when working independently on task-based projectsNice to HaveMaster's degree or PhD in Natural Resources, Environmental Science, or a related fieldHands-on fieldwork or applied conservation experienceFamiliarity with AI systems or content evaluation workflowsWhy 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 a global network of expertsContribute to work that helps AI handle environmental topics more accurately and responsiblyPotential for ongoing work and contract extension