Forestry and Land Management Scientist (AI Training)

About The Role
We're looking for forestry and land management scientists to help shape how AI understands sustainable forestry, forest ecosystems, and land-use practices. Your field expertise will directly influence the accuracy and reliability of AI systems used by researchers, planners, and conservation professionals — making a real-world impact from wherever you work.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: Flexible, asynchronous
What You'll Do
Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundness
Assess content related to forest health, land use planning, ecosystem management, and sustainability
Identify errors, oversimplifications, or gaps in AI-generated management recommendations
Provide structured, expert feedback to improve applied reasoning and decision-making in AI outputs
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 understanding of forest ecosystems, silviculture, and sustainable land-use practices
Able to critically evaluate applied environmental and resource management decision-making
Comfortable reading and assessing written technical content
Detail-oriented and self-motivated
No prior AI experience required
Nice to Have
Degree in Forestry, Natural Resources, Environmental Science, or a related field
Experience with land-use planning, conservation programs, or regulatory frameworks
Familiarity with AI tools or content evaluation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that improves how AI handles critical environmental topics
Potential for ongoing work and contract extension

Work arrangement
Yes