Skip to job listings
← Back to job listings

Alignerr

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 shape how AI understands sustainable forestry, forest ecosystems, and land-use decision-making. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — making a real impact on how these tools support environmental professionals worldwide. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated forestry and land management scenarios for scientific accuracy - Assess content related to forest health, land use planning, and sustainability practices - Identify errors, oversimplifications, or flawed reasoning in management recommendations - Provide clear, structured feedback that helps AI systems reason more accurately about real-world environmental decisions - Work independently and asynchronously on a schedule that fits your life 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 sustainable land-use practices - Able to critically evaluate applied environmental decision-making and spot technical inaccuracies - Comfortable reviewing and responding to 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 land-use planning, conservation programs, or regulatory compliance - Familiarity with AI systems or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your schedule, wherever you are - Contribute to meaningful work that improves how AI handles real environmental science - Freelance perks: autonomy, variety, and global collaboration - Potential for ongoing work and contract extension

Application listings

Choose a source listing and check its country requirements.