Forestry and Land Management Scientist (AI Training)

About The Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest ecosystems, and land-use practices. Your domain expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and decision-makers worldwide.

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 forestry and land management scenarios used in AI training datasets
• Assess the accuracy and soundness of AI-generated content related to forest health, land use, and sustainability
• Identify factual errors, oversimplifications, or flawed management recommendations
• Provide clear, structured feedback to improve AI reasoning on applied environmental topics
• Work independently and asynchronously to complete task-based assignments on your own schedule
  
  

Who You Are

• 3+ years of hands-on experience in forestry, land management, or a closely related field
• Strong working knowledge of forest ecosystems, silviculture, and sustainable land management practices
• Able to critically evaluate applied environmental decision-making scenarios
• Comfortable reading and reviewing technical written content with precision
• Self-motivated and reliable — you deliver quality work without close supervision
• No prior AI experience required
  
  

Nice to Have

• Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
• Experience with land-use planning, conservation programs, 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 when and where it suits you
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful impact by ensuring AI gets environmental science right
• Potential for ongoing work and contract extension