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Alignerr

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 being built for one of the most consequential fields on the planet. 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 outputs and real-world environmental practice - Provide clear, structured feedback to improve the accuracy and applicability of AI responses - Flag misleading, incomplete, or technically inaccurate environmental content - Work independently and asynchronously to complete task-based assignments on 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 practical shortcomings - Comfortable providing detailed, well-organized 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 with environmental policy, regulatory frameworks, or compliance - Familiarity with AI systems, content evaluation workflows, or technical writing Why Join Us - Work on cutting-edge AI projects with top research labs and leading AI organizations - Fully remote and flexible — work when and where it suits you - Freelance perks: autonomy, variety, and global collaboration - Make a meaningful impact by improving how AI handles environmental and sustainability topics - Gain exposure to advanced large language models (LLMs) and how they're developed - Potential for ongoing work and contract extension

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