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 used across the environmental sector — making a tangible impact on how these tools serve practitioners, policymakers, and communities.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly 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, depth, and applicability of AI-generated content
• Work independently and asynchronously — on your schedule, at your pace
  
  

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 evaluate written environmental analyses and spot where AI falls short
• Comfortable delivering detailed, structured written feedback
• Self-motivated and reliable with the ability to meet project deadlines 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, or annotation workflows
  
  

Why Join Us

• Work on cutting-edge AI projects with top research labs — at the intersection of environmental science and artificial intelligence
• Fully remote and flexible — complete assignments on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that helps AI reason more accurately about our planet's most pressing challenges
• Potential for ongoing work and contract extension