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 across the environmental sector — making a tangible impact on how these tools serve practitioners, policymakers, and communities. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly 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, depth, and applicability of AI-generated content - Work independently and asynchronously — on your schedule, at your pace Who You Are - 3+ years of hands-on experience in environmental management, conservation, or a related field - Strong working knowledge of sustainability frameworks and environmental planning principles - Able to critically evaluate written environmental analyses and spot where AI falls short - Comfortable delivering detailed, structured written feedback - Self-motivated and reliable with the ability to meet project deadlines 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, or annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs — at the intersection of environmental science and artificial intelligence - Fully remote and flexible — complete assignments on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that helps AI reason more accurately about our planet's most pressing challenges - Potential for ongoing work and contract extension
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