Natural Resource Conservation Scientist
About this role
About the Role We're looking for experienced natural resource conservation scientists to help shape how AI understands environmental science, land management, and conservation decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and practitioners worldwide. This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review conservation science questions and real-world scenarios used in AI training datasets - Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil science, hydrology, and biodiversity - Assess whether AI-generated conservation recommendations reflect sound, real-world practices - Provide clear, structured feedback to improve AI scientific reasoning and outputs - Work independently and asynchronously to meet project deadlines on your own schedule Who You Are - 3+ years of professional experience in natural resource conservation, environmental science, or a related discipline - Strong foundational knowledge of ecosystems, land management principles, and conservation science - Able to critically evaluate scientific reasoning and applied conservation recommendations - Comfortable reviewing structured written content and delivering detailed, actionable feedback - Self-motivated and reliable when working independently in a remote environment Nice to Have - Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field - Hands-on fieldwork or applied conservation project experience - Familiarity with AI systems, content evaluation workflows, or scientific writing Why Join Us - Work on cutting-edge AI projects with top research labs and make a tangible impact on how AI handles environmental science - Fully remote and flexible — design your own schedule and work from anywhere - Freelance perks: autonomy, variety, and collaboration with a global team of experts - Contribute to meaningful work that helps AI better serve the conservation and environmental science community - Potential for ongoing work and contract extension
Application listings
Choose a source listing and check its country requirements.