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 quality and accuracy of AI systems tackling some of the planet's most pressing 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/week What You'll Do Review and evaluate AI-generated environmental management scenarios and analysesAssess the quality of AI reasoning related to sustainability, impact mitigation, and resource planningIdentify gaps between theoretical frameworks and real-world environmental practiceProvide clear, structured feedback to improve AI accuracy and applicabilityWork independently and asynchronously to meet project milestones Who You Are 3+ years of hands-on experience in environmental management, conservation, or a related fieldStrong command of sustainability frameworks, environmental planning, and impact assessmentAble to critically evaluate written environmental analyses with precisionComfortable delivering detailed, structured feedback in written formSelf-motivated and reliable in a remote, asynchronous work environment Nice to Have Master's degree in Environmental Management, Environmental Science, or a related disciplineExperience with environmental policy, regulation, or compliance frameworksFamiliarity with AI systems, content evaluation, or annotation workflows Why Join Us Work on cutting-edge AI projects with top research labsFully remote and flexible — design your own scheduleFreelance perks: autonomy, variety, and global collaborationContribute to meaningful work that helps AI better understand environmental challengesExposure to advanced large language models (LLMs) and how they are trainedPotential for ongoing work and contract extension