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About The Role We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, ecosystem health, and land-use practices. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and policymakers worldwide. This is a fully remote, flexible contract role — work on your schedule while contributing to cutting-edge AI development. Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based Contract Location: Remote Commitment: 10–40 hours/week 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 structured, expert feedback to improve applied environmental reasoning Work independently and asynchronously to complete task-based assignments on your 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, management practices, and sustainability principles Able to critically evaluate applied environmental decision-making and technical recommendations Comfortable reviewing and assessing written technical content with attention to detail Self-motivated and reliable — able to work independently without close supervision Nice to Have Degree in Forestry, Natural Resources, Environmental Science, or a related field Experience with land-use planning, conservation programs, or ecological assessment Familiarity with AI tools, content evaluation workflows, or data annotation platforms Why Join Us Work on cutting-edge AI projects with top research labs and leading AI organizations Fully remote and flexible — design your own schedule around your life Freelance perks: autonomy, variety, and collaboration with a global expert community Use your domain expertise in a meaningful new way that goes beyond traditional fieldwork Potential for ongoing work and contract extension as new projects launch