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 and reasons about real-world conservation challenges — making a meaningful impact on one of the most important applications of AI in environmental science. 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 Assess the quality of ecological reasoning and proposed conservation strategies Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles Provide clear, structured feedback to improve the ecological validity of AI outputs Work independently and asynchronously on your own schedule Who You Are 3+ years of experience in wildlife biology, ecology, or habitat conservation Strong understanding of biodiversity science and ecosystem management principles Able to critically evaluate applied ecological reasoning in written form Comfortable reviewing and annotating structured scientific content Self-motivated and reliable when working independently No prior AI experience required Nice to Have Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field Hands-on field research or conservation program experience Familiarity with AI tools or content evaluation workflows Why Join Us Work on cutting-edge AI projects that apply your conservation expertise in a new way Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that helps AI better understand and support conservation efforts worldwide Potential for ongoing work and contract extension #J-18808-Ljbffr Alignerr Corp.
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