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Wildlife and Habitat Conservation Scientist (AI Training) About The Role Your field expertise shouldn't be confined to grant reports and academic papers. We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management — ensuring that AI gets the science right. As a subject matter expert, you'll directly influence how cutting-edge AI understands and reasons about conservation challenges. This is a fully remote, flexible contract role that fits around your existing commitments. Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy Assess the quality of ecological reasoning and proposed conservation strategies Identify unrealistic assumptions, flawed methodologies, or misapplied conservation practices Provide clear, structured feedback that improves the ecological validity of AI outputs Work independently and asynchronously on your own schedule Who You Are 3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation Strong working knowledge of biodiversity principles and ecosystem management Able to critically evaluate applied ecological reasoning presented in written form Comfortable reviewing structured scientific content and providing actionable feedback Self-motivated and reliable when working independently Nice to Have Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field Field research or active conservation program experience Familiarity with AI systems or content evaluation workflows Why Join Us Work on cutting-edge AI projects that shape how AI understands the natural world Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: autonomy, variety, and collaboration with a global expert community Make a meaningful impact by ensuring AI reflects real, rigorous conservation science Potential for ongoing work and contract extension