Environmental Management Scientist
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 how next-generation AI systems reason about some of the most critical challenges facing our planet. This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: Flexible, project-based 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 content in AI outputs - Provide clear, structured feedback to improve the accuracy and applicability of AI-generated content - Work independently and asynchronously to complete project tasks 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 and identify practical shortcomings - Comfortable providing detailed, structured written feedback - Self-motivated and reliable when working independently Nice to Have - Master's degree in Environmental Management, Environmental Science, or a related discipline - Experience navigating environmental policy or regulatory frameworks - Familiarity with AI systems, content evaluation, or data annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Apply your domain expertise to meaningful work that shapes how AI handles environmental challenges - Potential for ongoing work and contract extension
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