Forestry and Land Management Scientist (AI Training)

About The Role We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest health, and land-use decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and conservation professionals worldwide. This is a fully remote, flexible contract role work on your own schedule while making a meaningful contribution to the future of AI in environmental science. Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: RemoteCommitment: 1040 hours/week What You'll Do Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundnessEvaluate content related to forest health, biodiversity, land use, and sustainability practicesIdentify errors, oversimplifications, or misleading recommendations in AI outputsAssess the quality of applied environmental decision-making presented by AI systemsProvide clear, structured feedback that helps improve AI reasoning and reliabilityWork independently and asynchronously no meetings required Who You Are 3+ years of hands-on experience in forestry, land management, or a closely related fieldStrong working knowledge of forest ecosystems, management techniques, and sustainability principlesAble to critically evaluate applied environmental recommendations and flag inaccuraciesComfortable reviewing and providing feedback on written technical contentSelf-motivated, detail-oriented, and reliable Nice to Have Degree in Forestry, Natural Resources, Environmental Science, or a related disciplineExperience with land-use planning, conservation programs, or regulatory complianceFamiliarity with AI systems or content evaluation workflows Why Join Us Work on cutting-edge AI projects with real-world environmental impactFully remote and flexible work when and where it suits youFreelance perks: autonomy, variety, and global collaborationGain exposure to advanced AI systems and how large language models are trainedPotential for ongoing work and contract extension .