We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use planning, and environmental decision-making. Your field expertise will directly influence how next-generation AI systems reason about forest ecosystems — 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 forestry and land management scenarios used in AI training datasets Assess the scientific accuracy of content related to forest health, land use, biodiversity, and sustainability practices Identify errors, oversimplifications, or misleading recommendations in AI-generated management guidance Provide clear, structured feedback to improve the applied reasoning of AI systems 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 sustainable land-use practices Able to critically evaluate applied environmental decision-making and spot technical inaccuracies Comfortable reading and reviewing written technical content with precision 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 technology teams Fully remote and flexible — complete tasks on your own schedule Freelance perks: autonomy, variety, and collaboration with a general expert community Contribute to meaningful work that helps AI get environmental science right Potential for ongoing work and contract extension
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📌 Forestry and Land Management Scientist (AI Training) (Barcelona)
🏢 Alignerr
📍 Barcelona
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