Environmental Management Scientist (AI Training)

About The Role

We're looking for experienced environmental management professionals to help shape the next generation of AI. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly influence how AI understands and communicates these critical topics.

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 / Task-based 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, impact mitigation, and resource planning
• Identify gaps between theoretical frameworks and real-world environmental practice
• Provide clear, structured feedback to improve the accuracy and applicability 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 closely related field
• Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment
• Able to critically evaluate written environmental analyses for accuracy, depth, and practical relevance
• Skilled at providing detailed, constructive, and well-organized feedback
• Self-motivated and comfortable working independently in a remote setting

Nice to Have

• Master's degree in Environmental Management, Environmental Science, or a related discipline
• Experience with environmental policy, regulatory compliance, or permitting frameworks
• Familiarity with AI systems, content evaluation, or annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and AI organizations
• Fully remote and flexible — design your own schedule around your life
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Use your domain expertise to make a meaningful impact on how AI handles environmental topics
• Potential for ongoing work and contract extension