Environmental Management Scientist (AI Training)
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 trained on complex environmental topics — work that matters far beyond the screen. Organization: Alignerr (Powered by Labelbox) Type: Hourly 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 environmental models and real-world practice Provide clear, structured feedback to improve the accuracy, depth, and applicability of AI outputs Work independently and asynchronously on task-based assignments that fit 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 with a practitioner's eye Comfortable providing detailed, well-organized written feedback Self-motivated and reliable — you can meet deadlines without micromanagement
Nice to Have
Master's degree in Environmental Management, Environmental Science, or a related discipline Experience with environmental policy, regulatory compliance, or permitting frameworks Familiarity with AI systems or content evaluation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs Fully remote and flexible — work on your own schedule, anywhere in the world Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that improves how AI handles critical environmental topics Potential for ongoing work and contract extension