About this role
Wildlife and Habitat Conservation Scientist (AI Training) About The Role We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your scientific expertise will directly shape how AI understands, reasons about, and communicates conservation science — making a real impact on one of the most important applications of AI technology. Organization: Alignerr (Powered by Labelbox) Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity Assess the quality of ecological reasoning and the appropriateness of conservation strategies presented by AI Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles Provide clear, structured feedback that helps improve AI outputs in your domain 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 foundational knowledge of biodiversity, ecosystem dynamics, and conservation management Able to critically evaluate applied ecological reasoning in written form Comfortable reviewing and annotating structured scientific content Self-motivated, reliable, and able to meet project deadlines independently Nice to Have Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field Field research experience or direct involvement in conservation programs Familiarity with AI systems, content evaluation workflows, or scientific peer review Why Join Us Work on cutting-edge AI projects with real-world conservation impact Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Exposure to advanced large language models (LLMs) and how they're trained and evaluated Contribute to meaningful work that helps AI reason more responsibly about the natural world Potential for ongoing work and contract extension