Natural Resource Conservation Scientist

Natural Resource Conservation Scientist (AI Training) About The Role AI is increasingly being used to inform environmental decision-making — and it needs to get things right. We're looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation topics. Your scientific expertise will directly shape how AI understands and communicates complex conservation challenges — from ecosystem management to biodiversity protection. This is a rare opportunity to apply your field knowledge in a cutting-edge AI context, fully remote and on your own schedule. Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Review conservation science questions, scenarios, and AI-generated recommendations for scientific accuracyEvaluate content covering land use, ecosystems, soil health, water systems, and biodiversityAssess whether AI outputs reflect real-world conservation practices and sound scientific reasoningProvide clear, structured feedback to improve the quality and reliability of AI-generated contentWork independently and asynchronously — on your schedule, at your pace Who You Are 3+ years of professional experience in natural resource conservation, environmental science, or a closely related fieldStrong working knowledge of ecosystems, land management principles, and conservation scienceAble to critically evaluate scientific reasoning and assess the accuracy of applied recommendationsDetail-oriented with strong written communication skillsSelf-motivated and comfortable working independently on remote, task-based projects Nice to Have Master's degree or PhD in Natural Resources, Environmental Science, or a related disciplineHands-on fieldwork or applied conservation experienceFamiliarity with AI systems, content evaluation, or annotation workflows Why Join Us Work on cutting-edge AI projects with top research labsFully remote and flexible — work on your own scheduleFreelance perks: autonomy, variety, and global collaborationContribute to meaningful work that helps AI get environmental science rightPotential for ongoing work and contract extension