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 accuracy and quality of AI systems tackling some of the most important challenges of our time. 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 Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review AI-generated environmental management scenarios, analyses, and recommendations for accuracy and real-world applicability - Evaluate AI reasoning related to sustainability frameworks, impact mitigation, and resource planning - Identify gaps between theoretical models and on-the-ground environmental practice - Provide clear, structured feedback to improve the quality and reliability of AI outputs - Work independently and asynchronously to complete task-based assignments on your own 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 - Ability to critically evaluate written environmental analyses and identify weaknesses or inaccuracies - Skilled at providing detailed, constructive, and well-organized feedback - Self-motivated and comfortable working independently in a remote environment - No prior AI experience required Nice to Have - Master's degree in Environmental Management, Environmental Science, or a related discipline - Experience with environmental policy, regulatory frameworks, or compliance processes - Familiarity with AI tools, content evaluation, or annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs and make a real impact on how AI handles environmental topics - Fully remote and flexible — set your own hours and work from anywhere - Freelance perks: autonomy, variety, and collaboration with a global network of experts - Meaningful work that connects your environmental expertise to the future of responsible AI - Potential for ongoing work and contract extension
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