Environmental Management Scientist

Environmental Management Scientist (AI Training)

About the Role

We're looking for environmental management professionals to help evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly shape how AI understands and communicates complex environmental concepts — making a meaningful impact on the future of this technology.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible, asynchronous

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 inaccurate, misleading, or overly simplified environmental content
• Provide structured, actionable feedback to improve AI clarity and applicability
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of hands-on experience in environmental management, conservation, or a related field
• Strong working knowledge of sustainability frameworks and environmental planning principles
• Able to critically assess written environmental analyses with confidence
• Detail-oriented, with the ability to provide clear and structured written feedback
• Self-motivated and comfortable working independently

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 tools or content evaluation 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
• Contribute to meaningful work that shapes how AI handles real-world environmental challenges
• Potential for ongoing work and contract extension