Natural Resource Conservation Scientist

Natural Resource Conservation Scientist (AI Training)

About The Role

AI is rapidly expanding into environmental science — and it needs expert guidance to get things right. We're looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on conservation science, land management, and ecosystem decision-making.

Your real-world expertise will directly shape how AI understands and communicates environmental science — making a tangible impact on one of the most important technological shifts of our time.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
• Location: Fully Remote
• Commitment: 10–40 hours/week
  
  

What You'll Do

• Review conservation science questions and scenarios used in AI training datasets
• Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil health, water systems, and biodiversity
• Assess whether AI-generated recommendations reflect real-world conservation practices and standards
• Provide clear, structured feedback to improve AI scientific reasoning and output quality
• Work independently and asynchronously on your own schedule
  
  

Who You Are

• 3+ years of professional experience in natural resource conservation or environmental science
• Strong foundational knowledge of ecosystems, land management, and conservation principles
• Able to critically evaluate scientific reasoning and applied conservation recommendations
• Comfortable reviewing structured written content and delivering detailed, constructive feedback
• Self-motivated and reliable when working independently on task-based projects
  
  

Nice to Have

• Master's degree or PhD in Natural Resources, Environmental Science, or a related field
• Hands-on fieldwork or applied conservation experience
• Familiarity with AI systems, content evaluation workflows, or scientific writing
  
  

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 environmental science
• Potential for ongoing work and contract extension