Forestry and Land Management Scientist (AI Training)

Forestry and Land Management Scientist (AI Training)

About the Role

We're looking for experienced forestry and land management scientists to help shape the next generation of AI systems. Your field expertise will directly influence how AI understands, reasons about, and communicates sustainable forestry and land-use practices — work that has real-world implications for how these tools are used by professionals and policymakers alike.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible, asynchronous

What You'll Do

• Review forestry and land management scenarios used in AI training datasets
• Evaluate the accuracy of AI-generated content related to forest health, land use, and sustainability
• Identify errors, oversimplifications, or misleading recommendations in AI outputs
• Provide clear, structured feedback to improve the quality of applied environmental reasoning
• 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, silviculture, and land management practices
• Able to critically evaluate applied environmental decision-making and spot technical inaccuracies
• Comfortable reviewing and assessing written technical content
• Detail-oriented, self-motivated, and reliable

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 leading research labs
• Fully remote and flexible — complete work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Apply your domain expertise to meaningful work that shapes how AI understands the natural world
• Potential for ongoing work and contract extension