Environmental Management Scientist (AI Training)

New York

**About The Role** We'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 being built for one of the most consequential fields on the planet. 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 outputs and real-world environmental practice * Provide clear, structured feedback to improve the accuracy and applicability of AI responses * Flag misleading, incomplete, or technically inaccurate environmental content * Work independently and asynchronously to complete task-based assignments on your schedule **Who You Are** * 3+ years of hands-on experience in environmental management, conservation, or a related field * Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment * Able to critically evaluate written environmental analyses and identify practical shortcomings * Comfortable providing detailed, well-organized 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 systems, content evaluation workflows, or technical writing **Why Join Us** * Work on cutting-edge AI projects with top research labs and leading AI organizations * Fully remote and flexible --- work when and where it suits you * Freelance perks: autonomy, variety, and global collaboration * Make a meaningful impact by improving how AI handles environmental and sustainability topics * Gain exposure to advanced large language models (LLMs) and how they're developed * Potential for ongoing work and contract extension