Environmental Management Scientist (AI Training)
About this role
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 accuracy and reliability of next-generation AI systems — making a meaningful impact far beyond the field. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based Contract - Location: Fully 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 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 on your own schedule 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 evaluate written environmental analyses with a practical lens - Skilled at providing detailed, structured, and constructive written feedback - Self-motivated and comfortable managing your own workload remotely Nice to Have - Master's degree in Environmental Management, Environmental Science, or a related discipline - Familiarity with environmental policy, regulatory frameworks, or compliance processes - Prior experience with AI content evaluation, annotation, or quality review workflows Why Join Us - Work on cutting-edge AI projects with top research labs and tech organizations - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that helps AI better understand our planet's most pressing challenges - Potential for ongoing work and contract extension
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