About this role · Stem
About the Role We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest ecosystems, and land-use practices. Your field expertise will directly influence how next-generation AI systems reason about environmental decision-making — making a real-world impact from wherever you work. - 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 and quality of AI-generated content related to forest health, land use, and sustainability - Identify errors, oversimplifications, or misleading recommendations in AI outputs - Provide clear, structured feedback to improve applied environmental reasoning in 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 land-use planning - Able to critically evaluate applied environmental and management decision-making - Comfortable reviewing and assessing written technical content - Detail-oriented, self-motivated, and reliable Nice to Have - Degree in Forestry, Natural Resources, Environmental Science, or a related discipline - Experience with conservation programs, land-use planning, or regulatory frameworks - Familiarity with AI content evaluation or data annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that improves how AI understands the natural world - Potential for ongoing work and contract extension