Forestry and Land Management Scientist (AI Training)
About this role
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
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