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 used by researchers, policymakers, and practitioners 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 Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations Assess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning Identify gaps between theoretical models and real-world environmental practice Provide clear, structured feedback to improve the accuracy and applicability of AI outputs Work independently and asynchronously — no meetings required Who You Are 3+ years of hands-on experience in environmental management, conservation, or a related field Strong working knowledge of sustainability frameworks and environmental planning principles Able to critically assess written environmental analyses and identify weaknesses or inaccuracies Comfortable delivering detailed, structured written feedback Self-motivated and reliable when working independently Nice to Have Master's degree in Environmental Management, Environmental Science, or a related discipline Experience with environmental policy, regulatory frameworks, or compliance Familiarity with AI tools, content evaluation, or technical writing workflows Why Join Us Work on cutting-edge AI projects with top research labs Fully remote and flexible — work when and where it suits you Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that helps AI get environmental science right Potential for ongoing work and contract extension