Environmental Management Scientist (AI Training)

About The Role We're looking for 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 accuracy and quality of AI systems tackling some of the most complex environmental challenges of our time. This is a fully remote, flexible contract role — work on your own schedule and contribute to cutting-edge AI development from wherever you are. Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractCommitment: 10–40 hours/week What You'll Do Review 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 outputsWork independently and asynchronously to complete task-based assignments on your own schedule Who You Are 3+ years of hands-on experience in environmental management, conservation, or a related fieldStrong working knowledge of sustainability frameworks, environmental planning, and impact assessmentAble to critically evaluate written environmental analyses and identify where they fall shortComfortable providing detailed, structured written feedbackSelf-motivated and reliable — you can work independently and meet deadlines without close supervision Nice to Have Master's degree in Environmental Management, Environmental Science, or a related fieldExperience with environmental policy, regulatory frameworks, or complianceFamiliarity with AI systems, content evaluation, or annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs and a global teamFully remote and flexible — set your own hours and work from anywhereFreelance perks: autonomy, variety, and meaningful work that has real impactContribute to AI systems that handle important real-world environmental topicsPotential for ongoing work and contract extension