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 evaluate and improve AI systems trained on conservation science, land management, and environmental decision-making.Your expertise will directly shape how AI understands ecosystems, interprets land use data, and recommends conservation strategies — making a real‑world impact on how this technology serves scientists, policymakers, and communities.Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: Fully 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 related to land use, ecosystems, soil, water, and biodiversityAssess whether AI-generated recommendations reflect real‑world conservation practices and current scientific standardsIdentify errors, gaps, or misleading reasoning in AI outputsProvide clear, structured feedback to improve scientific reasoning and response qualityWork independently and asynchronously — on a schedule that fits your lifeWho You Are3+ years of professional experience in natural resource conservation, environmental science, or a closely related fieldStrong working knowledge of ecosystems, land management principles, and conservation frameworksAble to critically evaluate scientific reasoning and applied conservation recommendationsComfortable reviewing structured written content and articulating detailed, constructive feedbackSelf‑motivated and reliable — you can manage your own time and meet deadlines without hand‑holdingNice 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 workflows, or scientific writing reviewWhy Join UsCompetitive hourly pay for specialized scientific expertiseFully remote and flexible — work from anywhere, on your own scheduleMeaningful impact — your knowledge helps ensure AI gets environmental science rightCutting‑edge exposure — gain firsthand insight into how large language models are trained and evaluatedFreelance autonomy — no micromanagement, no rigid hours, global collaborationPotential for ongoing work and contract extension based on performance#J-18808-Ljbffr
