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 used by researchers, planners, and organizations tackling some of the world's most pressing environmental challenges. 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 environmental models and real-world practice - Provide clear, structured feedback to improve the accuracy, depth, and applicability of AI outputs - Flag content that misrepresents environmental standards, regulations, or best practices - 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 impact assessment, and land-use planning - Able to critically evaluate written environmental analyses for scientific accuracy and practical relevance - Skilled at providing detailed, constructive, and well-structured written feedback - Self-motivated and comfortable working independently in a remote setting - No prior AI experience required — your domain expertise is what matters Nice to Have - Master's degree in Environmental Management, Environmental Science, or a related field - Experience with environmental policy, regulatory compliance, or permitting frameworks - Background in conservation planning, ecological restoration, or natural resource management - Familiarity with AI systems, content evaluation, or annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs and have a direct impact on how AI handles environmental topics - Fully remote and flexible — work when and where you choose - Freelance perks: autonomy, variety, and collaboration with a global community of subject-matter experts - Expand your exposure to large language models and how they're trained and evaluated - Potential for ongoing work and contract extension as new projects launch
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