Environmental Management Scientist

About The Role

We're looking for environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly influence how next-generation AI systems reason about some of the most critical challenges facing our planet.

This is a fully remote, flexible contract role --- work on your own schedule while contributing to cutting-edge AI development.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible, project-based

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
• Flag inaccuracies, oversimplifications, or misleading content in AI outputs
• Provide clear, structured feedback to improve the accuracy and applicability of AI-generated content
• Work independently and asynchronously to complete project tasks 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 and identify practical shortcomings
• Comfortable providing detailed, structured written feedback
• Self-motivated and reliable when working independently

Nice to Have

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

Why Join Us

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible --- work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Apply your domain expertise to meaningful work that shapes how AI handles environmental challenges
• Potential for ongoing work and contract extension