About this role · Stem
About the Role We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forest management, land-use planning, and environmental decision-making. Your field 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 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 and evaluate forestry and land management scenarios used in AI training datasets - Assess the accuracy of AI-generated content related to forest health, land use, and sustainability practices - Identify factual errors, oversimplifications, or flawed management recommendations in AI outputs - Provide structured, expert feedback to improve applied environmental reasoning in AI systems - 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 - Able to critically evaluate applied environmental decision-making and management recommendations - Comfortable reading and reviewing technical written content with precision - Self-motivated and reliable when working independently in a remote setting 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 tools, content evaluation workflows, or data annotation platforms Why Join Us - Work on cutting-edge AI projects with top research labs and technology organizations - Fully remote and flexible — set your own hours and work from anywhere - Freelance perks: autonomy, variety, and collaboration with a global network of experts - Make a real impact by ensuring AI systems reflect accurate, real-world forestry science - Potential for ongoing work and contract extension based on performance