Forestry and Land Management Scientist; AI Training

About The Role

We’re looking for forestry and land management scientists to help evaluate AI systems trained on sustainable forestry and land-use practices.

• Organization:
  Alignerr (Powered by Labelbox)
• Location:
  
  Remote
• Type:
  Hourly / Task-based Contract
• Compensation: $30-55 /hour
• Commitment: 10-40 hours/week

• Review forestry and land management scenarios used in AI training.
• Assess accuracy of content related to forest health, land use, and sustainability.
• Identify errors or oversimplifications in management recommendations.
• Provide structured feedback to improve applied reasoning.
• Work independently and asynchronously to meet project deadlines.

• 3+ years of experience in forestry or land management roles.
• Strong understanding of forest ecosystems and management practices.
• Able to evaluate applied environmental decision‑making.
• Comfortable reviewing written technical content.

• Degree in Forestry, Natural Resources, or related field.
• Experience with land‑use planning or conservation programs.
• Familiarity with AI or content evaluation workflows.

• Competitive pay and flexible remote work.
• Lead a team working on cutting‑edge AI projects.
• Exposure to advanced LLMs and how they’re trained.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.

• Submit your resume
• Complete a short screening
• Project matching and onboarding

PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.