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
• Assess 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

Why Join Us

• Work on cutting-edge AI projects with top research labs and have a direct impact on how AI handles environmental topics
• Fully remote and flexible — work when and where you choose
• Freelance perks: autonomy, variety, and collaboration with a global community of subject-matter experts
• Expand your exposure to large language models and how they're trained and evaluated
• Potential for ongoing work and contract extension as new projects launch

Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week