Environmental Management Scientist (AI Training)
About this role
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
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