Environmental Management Scientist (AI Training)
About this role
About the Role We're looking for environmental management professionals to play a hands-on role in shaping how AI understands sustainability, land-use planning, and environmental decision-making. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — helping ensure they reflect real-world environmental practice, not just theory. This is a flexible, fully remote contract role designed to fit around your schedule. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based 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 environmental models and on-the-ground practice - Provide clear, structured feedback that improves the quality and reliability of AI outputs - Work independently and asynchronously — 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 principles, and impact assessment - Skilled at critically evaluating written environmental analyses and identifying weaknesses - Clear and structured communicator who can translate expert judgment into actionable feedback - Self-motivated and comfortable working independently in a remote, async environment 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 data annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs shaping the future of sustainability intelligence - Fully remote and flexible — set your own hours and work from anywhere - Freelance perks: autonomy, variety, and collaboration with a global community of experts - Contribute to meaningful work that improves how AI handles real environmental challenges - Potential for ongoing work and contract extension
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