Environmental Management Scientist (AI Training)

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 being used by researchers, planners, and organizations worldwide.

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 frameworks, impact mitigation, and resource planning
• Identify gaps between theoretical environmental models and real-world practice
• Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
• Flag misleading, incomplete, or technically unsound environmental content
• Work independently and asynchronously on task-based assignments

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 with precision and depth
• Comfortable providing detailed, actionable feedback in structured formats
• Self-motivated and reliable — able to manage your own time and meet deadlines

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 annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and technology teams
• Fully remote and flexible — work from anywhere on your own schedule
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Contribute to meaningful work that shapes how AI handles real-world environmental challenges
• Potential for ongoing work and contract extension