Forestry and Land Management Scientist (AI Training)

About The Role
We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest health, and land-use decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and conservation professionals worldwide.
This is a fully remote, flexible contract role — work on your own schedule while making a meaningful contribution to the future of AI in environmental science.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundness
Evaluate content related to forest health, biodiversity, land use, and sustainability practices
Identify errors, oversimplifications, or misleading recommendations in AI outputs
Assess the quality of applied environmental decision-making presented by AI systems
Provide clear, structured feedback that helps improve AI reasoning and reliability
Work independently and asynchronously — no meetings required
Who You Are
3+ years of hands-on experience in forestry, land management, or a closely related field
Strong working knowledge of forest ecosystems, management techniques, and sustainability principles
Able to critically evaluate applied environmental recommendations and flag inaccuracies
Comfortable reviewing and providing feedback on written technical content
Self-motivated, detail-oriented, 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 compliance
Familiarity with AI systems or content evaluation workflows
Why Join Us
Work on cutting-edge AI projects with real-world environmental impact
Fully remote and flexible — work when and where it suits you
Freelance perks: autonomy, variety, and global collaboration
Gain exposure to advanced AI systems and how large language models are trained
Potential for ongoing work and contract extension

Work arrangement
No