Forestry and Land Management Scientist (AI Training)

About The Role

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

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

What You'll Do

• Review and evaluate AI-generated forestry and land management scenarios for scientific accuracy
• Assess content related to forest health, land use planning, and sustainability practices
• Identify errors, oversimplifications, or flawed reasoning in AI-generated management recommendations
• Provide clear, structured feedback that improves how AI models reason about applied environmental challenges
• Work independently and asynchronously 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, land-use practices, and sustainability principles
• Able to critically evaluate applied environmental decision-making and management strategies
• Comfortable reading and reviewing detailed technical written content
• Self-motivated and reliable when working independently

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 or content evaluation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and help shape how AI understands the natural world
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work at the intersection of environmental science and artificial intelligence
• Potential for ongoing work and contract extension