Forestry and Land Management Scientist (AI Training)
About this role
About the Role We're looking for forestry and land management scientists to help shape how AI understands sustainable forest management, land-use planning, and environmental decision-making. 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 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 forestry and land management scenarios used in AI training datasets - Assess the accuracy, depth, and scientific soundness of content related to forest health, land use, and sustainability - Identify factual errors, oversimplifications, or flawed management recommendations - Provide clear, structured feedback that improves AI reasoning on applied environmental topics - Work independently and asynchronously to complete task-based assignments 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 - Ability to critically evaluate applied environmental decision-making and management scenarios - Comfortable reviewing and responding to written technical content - Self-motivated, reliable, and able to work independently without close supervision Nice to Have - Degree in Forestry, Natural Resources, Environmental Science, or a related discipline - Experience with land-use planning, conservation programs, or environmental policy - Familiarity with AI content evaluation, annotation, or data labeling workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule, anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that improves how AI handles real environmental challenges - Potential for ongoing work and contract extension
Application listings
Choose a source listing and check its country requirements.