Environmental Management Scientist (AI Training)
About this role
About the Role We're looking for experienced environmental management professionals to help shape the next generation of AI. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly influence how AI understands and communicates these critical topics. 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, impact mitigation, and resource planning - Identify gaps between theoretical frameworks and real-world environmental practice - Provide clear, structured feedback to improve the accuracy and applicability of AI outputs - Work independently and asynchronously to complete task-based assignments on your own schedule Who You Are - 3+ years of hands-on experience in environmental management, conservation, or a closely related field - Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment - Able to critically evaluate written environmental analyses for accuracy, depth, and practical relevance - Skilled at providing detailed, constructive, and well-organized feedback - Self-motivated and comfortable working independently in a remote setting 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, content evaluation, or annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs and AI organizations - Fully remote and flexible — design your own schedule around your life - Freelance perks: autonomy, variety, and collaboration with a global community of experts - Use your domain expertise to make a meaningful impact on how AI handles environmental topics - Potential for ongoing work and contract extension
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