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, analyzes, and communicates about one of the most critical fields of our time — conservation science. This is a fully remote, flexible contract role that lets you contribute meaningfully to cutting-edge AI research while working on your own schedule.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week What You'll Do Review wildlife and habitat conservation scenarios used in AI training datasets
Assess the accuracy of ecological reasoning, biodiversity logic, and conservation strategies presented by AI
Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles
Provide transparent, structured feedback to improve the ecological validity of AI-generated content
Work independently and asynchronously to complete task-based assignments 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 science and ecosystem management principles
Able to critically evaluate applied ecological reasoning presented in written form
Comfortable reviewing and annotating structured scientific content
Detail-oriented, self-motivated, and reliable when working independently Nice to Have Graduate degree in Ecology, Wildlife Biology, Environmental Science, or a related field
Field research experience or involvement in active conservation programs
Familiarity with AI systems, content evaluation workflows, or scientific annotation tasks Why Join Us Work on cutting-edge AI projects with top research labs and help shape the future of AI in science
Fully remote and flexible — work when and where it suits you
Freelance perks: autonomy, variety, and collaboration with a global community of experts
Make a meaningful impact by ensuring AI gets conservation science right