Environmental Management Scientist (AI Training)
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 the quality and accuracy of AI systems used by researchers, policymakers, and organizations tackling some of the planet's most pressing challenges. This is a fully remote, flexible contract role — work on your 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 models and real-world environmental practice - Provide clear, structured feedback to improve the accuracy and applicability of AI outputs - Flag misleading, incomplete, or technically flawed environmental content - Work independently and asynchronously at a pace that suits you 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 with confidence and precision - Skilled at providing detailed, structured feedback in written form - Self-motivated and comfortable working independently on remote, task-based projects Nice to Have - Master's degree in Environmental Management, Environmental Science, or a related field - Experience working with environmental policy or regulatory frameworks - Familiarity with AI systems, content evaluation, or annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs shaping the future of AI - Fully remote and flexible — work when and where you choose - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that helps AI reason responsibly about the environment - Potential for ongoing work and contract extension - Gain rare, firsthand exposure to advanced large language models and how they're trained
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