Environmental Management Scientist (AI Training)

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 by researchers, planners, and organizations tackling some of the world's most pressing environmental challenges.

What You'll Do

• Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations
• Audit the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning
• Identify gaps between theoretical environmental models and real-world practice
• Provide clear, structured feedback to improve the accuracy, depth, and applicability of AI outputs
• Flag content that misrepresents environmental standards, regulations, or best practices
• 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 closely related field
• Strong working knowledge of sustainability frameworks, environmental impact assessment, and land-use planning
• Able to critically evaluate written environmental analyses for scientific accuracy and practical relevance
• Skilled at providing detailed, constructive, and well-structured written feedback
• Self-motivated and comfortable working independently in a remote setting
• No prior AI experience required — your domain expertise is what matters
• Nice to have: Master's degree in Environmental Management, Environmental Science, or a related field
• Experience with environmental policy, regulatory compliance, or permitting frameworks
• Background in conservation planning, ecological restoration, or natural resource management
• Familiarity with AI systems, content evaluation, or annotation workflows