Environmental Management Scientist (AI Training)

About The RoleWe're looking for experienced environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly influence the quality and accuracy of AI systems used by researchers, planners, and organizations tackling some of the world's most pressing environmental challenges.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 AI-generated environmental management scenarios, analyses, and recommendationsAssess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planningIdentify gaps between theoretical environmental models and real-world practiceProvide clear, structured feedback to improve the accuracy, depth, and applicability of AI outputsFlag content that misrepresents environmental standards, regulations, or best practicesWork independently and asynchronously to complete task-based assignments on your own scheduleWho You Are3+ years of hands-on experience in environmental management, conservation, or a closely related fieldStrong working knowledge of sustainability frameworks, environmental impact assessment, and land-use planningAble to critically evaluate written environmental analyses for scientific accuracy and practical relevanceSkilled at providing detailed, constructive, and well-structured written feedbackSelf-motivated and comfortable working independently in a remote settingNo prior AI experience required — your domain expertise is what mattersNice to HaveMaster's degree in Environmental Management, Environmental Science, or a related fieldExperience with environmental policy, regulatory compliance, or permitting frameworksBackground in conservation planning, ecological restoration, or natural resource managementFamiliarity with AI systems, content evaluation, or annotation workflowsWhy Join UsWork on cutting-edge AI projects with top research labs and have a direct impact on how AI handles environmental topicsFully remote and flexible — work when and where you chooseFreelance perks: autonomy, variety, and collaboration with a global community of subject-matter expertsExpand your exposure to large language models and how they're trained and evaluatedPotential for ongoing work and contract extension as new projects launch