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 ecosystems, land-use practices, and environmental decision-making. Your real-world expertise will directly influence how next-generation AI systems reason about some of the most pressing environmental challenges of our time. - 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 - Evaluate content related to forest health, land use, ecosystem dynamics, and sustainability practices - Identify errors, oversimplifications, or flawed reasoning in AI-generated management recommendations - Provide clear, structured feedback that helps AI systems improve their applied environmental reasoning - Work independently and asynchronously — on your schedule, at your pace 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, or land-use planning principles - Able to critically evaluate applied environmental and resource management decisions - Comfortable reviewing and assessing written technical content - Self-motivated and reliable when working independently Nice to Have - Degree in Forestry, Natural Resources, Environmental Science, or a related discipline - Experience with conservation programs, land-use planning, or regulatory compliance - Familiarity with AI tools or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs — your domain expertise genuinely matters here - Fully remote and flexible — work when and where it suits you - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that helps AI better understand the natural world - Potential for ongoing work and contract extension