About this role · Stem
About the Role We're looking for experienced forestry and land management scientists to help evaluate and improve AI systems trained on sustainable forestry and land-use practices. Your field expertise will directly shape how AI understands forest ecosystems, management strategies, and 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 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 how AI reasons through applied environmental problems - 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 understanding of forest ecosystems, silviculture, and sustainable land-use practices - Able to critically evaluate applied environmental decision-making and technical content - Comfortable reviewing and annotating written technical material - Detail-oriented and self-motivated with the ability to meet deadlines independently Nice to Have - Degree in Forestry, Natural Resources, Environmental Science, or a related field - Experience with land-use planning, conservation programs, or regulatory frameworks - Familiarity with AI content evaluation or data annotation workflows Why Join Us - Work on cutting-edge AI projects with leading research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that shapes how AI handles real environmental challenges - Potential for ongoing work and contract extension