Wildlife and Habitat Conservation Scientist

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 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, logical errors, or misapplied conservation methods Provide clear, structured feedback that helps AI systems reason more accurately about biodiversity and ecosystem management 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 foundational knowledge of biodiversity, ecosystem dynamics, and applied conservation Able to critically evaluate ecological reasoning presented in written, scenario-based formats Comfortable working through structured scientific content with attention to detail 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 experience Familiarity with AI systems, content evaluation workflows, or scientific peer review

Why Join Us

Work on cutting-edge AI projects at the intersection of 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 improves how AI understands the natural world Potential for ongoing work and contract extension