Wildlife and Habitat Conservation Scientist

Alignerr is seeking a Wildlife and Habitat Conservation Scientist to train AI systems on biodiversity and ecological health. This fully remote, flexible contract role requires 3+ years of experience in wildlife biology or ecology. Responsibilities include reviewing AI-generated scenarios for accuracy and providing structured feedback. The position allows for independent work on a flexible schedule, with a commitment of 10-40 hours per week.
Wildlife and Habitat Conservation Scientist (AI Training)


About The Role
Your field knowledge of wildlife biology and habitat conservation is more valuable than ever — and not just in the field. We're looking for conservation scientists to help train and evaluate AI systems that reason about biodiversity, ecological health, and conservation strategy.


This is a fully remote, flexible contract role where your scientific expertise directly shapes how AI understands the natural world. No prior AI experience required.





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


Assess the quality of ecological reasoning and proposed conservation strategies


Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts


Provide clear, structured feedback that improves the ecological validity of AI outputs


Work independently and asynchronously — on your schedule, at your pace



Who You Are






3+ years of experience in wildlife biology, ecology, habitat conservation, or a closely related field


Strong working knowledge of biodiversity principles and ecosystem management


Able to critically evaluate applied ecological reasoning presented in written form


Comfortable reading and reviewing structured scientific content


Detail-oriented, 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, or scientific annotation workflows



Why Join Us






Meaningful impact — your expertise helps AI reason responsibly about conservation and the natural world


Fully remote and flexible — work from anywhere, on a schedule that fits your life


Cutting-edge work — gain direct exposure to how large language models are trained and evaluated


Autonomy — task-based structure means you're in control of your workflow


Global collaboration — connect with a diverse, expert community of scientists and researchers


Ongoing opportunity — strong contributors are considered for contract extension and future projects