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Wildlife and Habitat Conservation Scientist
LondonSource: WhatJobs
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Wildlife and Habitat Conservation Scientist (AI Training)
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.
About The Role
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
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