Natural Resource Conservation Scientist
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About The Role
We're looking for experienced natural resource conservation scientists to help shape how AI understands environmental science. Your expertise in ecosystems, land management, and conservation will directly influence the accuracy and reliability of next-generation AI systems — work that matters well beyond the screen. Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based Contract
Location:
Fully 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, water resources, and biodiversity Assess whether AI recommendations reflect sound, real-world conservation practices Provide clear, structured feedback to improve scientific reasoning and AI outputs Work independently and asynchronously — on your schedule, at your pace Who You Are 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field Strong foundational knowledge of ecosystems, land management principles, and conservation frameworks Able to critically evaluate scientific reasoning and applied recommendations with clarity Comfortable reviewing structured written content and delivering detailed, actionable feedback Self-motivated and reliable when working independently on remote, task-based projects Nice to Have Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline Hands-on fieldwork or applied conservation experience Familiarity with AI content evaluation, data annotation, or quality review workflows Why Join Us Work on cutting-edge AI projects at the intersection of environmental science and artificial intelligence Fully remote and flexible — design your own schedule around your life Freelance perks: autonomy, variety, and collaboration with a global community of experts Make a real impact by ensuring AI gets environmental science right Potential for ongoing work and contract extension
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