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 built for one of the most consequential fields on the planet.

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 outputs and real-world environmental practice
• Provide clear, structured feedback to improve the accuracy and applicability of AI responses
• Flag misleading, incomplete, or technically inaccurate environmental content
• Work independently and asynchronously to complete task-based assignments on your schedule

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
• Able to critically evaluate written environmental analyses and identify practical shortcomings
• Comfortable providing detailed, well-organized 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 with environmental policy, regulatory frameworks, or compliance
• Familiarity with AI systems, content evaluation workflows, or technical writing

Why Join Us

• Work on cutting-edge AI projects with top research labs and leading AI organizations
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful impact by improving how AI handles environmental and sustainability topics
• Gain exposure to advanced large language models (LLMs) and how they're developed
• Potential for ongoing work and contract extension