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, land-use planning, and ecosystem management. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — making a real-world impact from wherever you work.

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

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use planning, and ecosystem management. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — making a real-world impact from wherever you work.

• 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
• Identify factual errors, oversimplifications, or flawed management recommendations
• Provide clear, structured feedback to improve AI reasoning on applied environmental topics
• Work independently and asynchronously — on your own schedule

• 3+ years of hands-on experience in forestry, land management, or a closely related field
• Strong working knowledge of forest ecosystems, silviculture, and land management practices
• Able to critically evaluate applied environmental decision-making and technical content
• Clear written communicator who can articulate feedback precisely and constructively
• Self-motivated and comfortable managing your own workload remotely

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

• Work on cutting-edge AI projects with leading research organizations
• Fully remote and flexible — contribute on your own terms and schedule
• Freelance perks: autonomy, variety, and collaboration with a global network of experts
• Use your specialist knowledge in a high-impact, intellectually engaging role
• Potential for ongoing work and contract extension