Forestry and Land Management Scientist (AI Training)

About The RoleWe're looking for experienced forestry and land management scientists to help shape how AI understands and communicates sustainable forest practices. Your field knowledge will directly improve the accuracy and reliability of AI systems tackling some of the most important environmental challenges of our time.This is a remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.Organization: Alignerr (Powered by Labelbox)Type: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview forestry and land management scenarios used in AI training datasetsAssess the accuracy of AI-generated content related to forest health, land use, and sustainabilityIdentify factual errors, oversimplifications, or flawed management recommendationsProvide clear, structured feedback to improve AI reasoning on applied environmental topicsWork independently and asynchronously to complete task-based assignments on your own scheduleWho You Are3+ years of hands-on experience in forestry, land management, or a closely related fieldStrong working knowledge of forest ecosystems, silviculture, and land management practicesAble to critically evaluate applied environmental decision-making and spot technical inaccuraciesComfortable reviewing and assessing written technical contentSelf-motivated and reliable when working independentlyNice to HaveDegree in Forestry, Natural Resources, Environmental Science, or a related disciplineExperience with land-use planning, conservation programs, or environmental policyFamiliarity with AI tools or content evaluation workflowsWhy Join UsWork on cutting-edge AI projects with top research labsFully remote and flexible — work when and where it suits youFreelance perks: autonomy, variety, and global collaborationMake a meaningful impact on how AI handles real-world environmental topicsPotential for ongoing work and contract extension