Natural Resource Conservation Scientist
About this role
About the Role AI is being trained to reason about ecosystems, land management, and conservation — and it needs real experts to get it right. We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems working in environmental science and conservation decision-making. Your field knowledge will directly shape how AI understands complex environmental challenges, making this an opportunity to extend your conservation impact far beyond traditional roles. - 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 scenarios and questions used to train AI systems - Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversity - Assess whether AI recommendations reflect real-world conservation practices and current scientific understanding - Identify gaps, errors, or misleading reasoning in AI outputs - Provide clear, structured feedback that improves AI scientific reasoning - Work independently and asynchronously on your own schedule Who You Are - 3+ years of professional experience in natural resource conservation, land management, or environmental science - Strong working knowledge of ecosystems, conservation principles, and applied land management - Able to critically evaluate scientific reasoning and identify when recommendations miss the mark - Comfortable reviewing structured written content and translating expert judgment into actionable feedback - Self-motivated and reliable — you can manage your own workload and meet deadlines independently 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 technical writing Why Join Us - Work on cutting-edge AI projects shaping how the world's most advanced models understand environmental science - Fully remote and flexible — complete tasks on your own schedule from anywhere - Freelance perks: autonomy, variety, and collaboration with a global community of subject matter experts - Make a meaningful impact by ensuring AI gets conservation science right - Potential for ongoing work and contract extension as projects grow
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