About the 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 field knowledge and ecological expertise will directly shape how AI understands and communicates complex conservation topics — making a real impact on how these critical subjects are represented in next-generation AI tools.
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 and ecological validity Assess the quality of ecological reasoning and proposed conservation strategies Identify unrealistic assumptions, flawed methodology, or misapplied conservation principles Provide structured, expert feedback to improve AI outputs in your area of specialization Work independently and asynchronously on your own schedule
Who You Are
3+ years of experience in wildlife biology, ecology, habitat conservation, or a closely related field Strong working knowledge of biodiversity science and ecosystem management principles Able to critically evaluate applied ecological reasoning presented in written form Comfortable reviewing and annotating structured scientific content Self-motivated and reliable when working independently
Nice to Have
Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related discipline Hands-on field research or conservation program management experience Familiarity with AI systems or content evaluation workflows
Why Join Us
Work on cutting-edge AI projects that sit at the intersection of conservation science and technology Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: autonomy, variety, and collaboration with experts across the globe Contribute to meaningful work that helps AI get conservation science right Potential for ongoing work and contract extension