Environmental Management Scientist (AI Training)
About this role
About the Role We're looking for experienced environmental management professionals to help evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly shape how AI understands and communicates complex environmental topics — making a tangible impact on how these tools serve practitioners, policymakers, and the planet. - 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 - Flag inaccuracies, oversimplifications, or misleading guidance in AI outputs - Provide clear, structured feedback that improves the accuracy and applicability of AI content - 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 and identify where they fall short - Comfortable providing detailed, well-organized written feedback - Self-motivated, reliable, and comfortable working independently Nice to Have - Master's degree in Environmental Management, Environmental Science, or a related discipline - Experience with environmental policy, regulatory compliance, or EIA frameworks - Familiarity with AI tools or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs and make a real difference in how AI handles environmental topics - Fully remote and flexible — work on your own schedule, wherever you are - Freelance perks: autonomy, variety, and global collaboration - Gain firsthand exposure to advanced large language models (LLMs) and how they're trained - Potential for ongoing work and contract extension
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