Requirements
Requires 3+ years of hands-on experience in forestry, land management, or a closely related field with strong knowledge of forest ecosystems, silviculture, and sustainable land management practices. Must be able to critically evaluate applied environmental decision-making scenarios and technical written content, and be self-motivated and reliable.
Description
About The RoleWe're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest ecosystems, and land-use practices. Your domain expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and decision-makers worldwide.This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development.Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview and evaluate forestry and land management scenarios used in AI training datasetsAssess the accuracy and soundness 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 sustainable land management practicesAble to critically evaluate applied environmental decision-making scenariosComfortable reading and reviewing technical written content with precisionSelf-motivated and reliable — you deliver quality work without close supervisionNo prior AI experience requiredNice to HaveDegree in Forestry, Natural Resources, Environmental Science, or a related disciplineExperience with land-use planning, conservation programs, or regulatory frameworksFamiliarity with AI systems, content evaluation, or data annotation 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 by ensuring AI gets environmental science rightPotential for ongoing work and contract extension