Requirements
Requires 3+ years of professional experience in natural resource conservation, environmental science, or a related field. Must have strong working knowledge of ecosystems, land management principles, and conservation practices. Must be able to critically evaluate scientific reasoning and applied recommendations with clarity and precision, and be comfortable reviewing structured written content to provide detailed, actionable feedback.
Description
Natural Resource Conservation Scientist (AI Training)About The RoleYour expertise in natural resource conservation doesn't just belong in the field — it belongs at the frontier of AI development. We're looking for experienced conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.This is a fully remote, flexible contract role where your scientific knowledge directly shapes how AI understands and communicates critical environmental topics. If you care about the accuracy of conservation science and want to contribute to cutting-edge technology, this is your opportunity.Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview conservation science questions and real-world scenarios used in AI training datasetsEvaluate the scientific accuracy of AI-generated content covering ecosystems, land use, soil health, water systems, and biodiversityAssess whether AI recommendations align with established, real-world conservation practicesProvide clear, structured feedback that improves AI scientific reasoning and output qualityWork independently and asynchronously — on your own schedule, at your own paceWho You Are3+ years of professional experience in natural resource conservation, environmental science, or a related fieldStrong working knowledge of ecosystems, land management principles, and conservation practicesAble to critically evaluate scientific reasoning and applied recommendations with clarity and precisionComfortable reviewing structured written content and providing detailed, actionable feedbackSelf-motivated and reliable with the ability to meet project deadlines independentlyNice to HaveMaster's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related disciplineHands-on fieldwork or applied conservation project experienceFamiliarity with AI systems, content evaluation, or data annotation workflowsWhy Join UsMake a real impact — your scientific expertise directly improves how AI handles environmental and conservation topicsWork on cutting-edge AI projects with top research organizations pushing the boundaries of what AI can doFully remote and flexible — set your own hours and work from wherever you areFreelance perks — autonomy, variety, and the opportunity to collaborate with a global network of subject matter expertsPotential for ongoing work — strong contributors are considered for contract extensions and additional projects