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. Your field expertise will directly influence how AI systems understand, reason about, and communicate sustainable forestry and land-use practices — making a real-world impact on how this technology serves environmental professionals and decision-makers.
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
Assess content related to forest health, land use planning, and sustainability best practices
Identify factual errors, oversimplifications, or flawed management recommendations in AI outputs
Provide clear, structured feedback to improve AI reasoning on applied environmental topics
Work independently and asynchronously — on a schedule that fits your life
Who You Are
3+ years of hands-on experience in forestry, land management, or a closely related field
Deep understanding of forest ecosystems, silviculture, and sustainable land-use practices
Confident evaluating applied environmental decision-making and technical recommendations
Comfortable reviewing and critiquing written scientific or professional content
Self-directed and reliable — you can manage your own time and meet deadlines
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 tools or content evaluation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs
Fully remote and flexible — set your own hours and work from anywhere
Freelance perks: autonomy, variety, and collaboration with a global expert community
Contribute to meaningful work that improves AI's understanding of our natural world