Forestry and Land Management Scientist; AI Training

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest health, and land-use decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and policymakers 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

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

• 3+ years of hands-on experience in forestry, land management, or a closely related field
• Strong understanding of forest ecosystems, silviculture, and sustainable land management principles
• Able to critically evaluate applied environmental decision-making scenarios
• Comfortable reviewing and assessing written technical content
• Detail-oriented, self-motivated, and reliable

• Degree in Forestry, Natural Resources, Environmental Science, or a related field
• Experience with land-use planning, conservation programs, or regulatory frameworks
• Familiarity with AI systems or content evaluation workflows

• Work on cutting-edge AI projects with top research labs and tech teams
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Apply your domain expertise in a meaningful new way
• Potential for ongoing work and contract extension