Job Description
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 science — making a real impact on one of the most important applications of AI technology.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract
Location: Remote
Commitment: ***** 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 the appropriateness of conservation strategies presented by AI
Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles
Provide clear, structured feedback that helps improve AI outputs in your domain
Work independently and asynchronously on your own schedule
Who You Are
3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation
Solid foundational knowledge of biodiversity, ecosystem dynamics, and conservation management
Able to critically evaluate applied ecological reasoning in written form
Comfortable reviewing and annotating structured scientific content
Self-motivated, reliable, and able to meet project deadlines independently
Nice to Have
Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field
Field research experience or direct involvement in conservation programs
Familiarity with AI systems, content evaluation workflows, or scientific peer review
Why Join Us
Work on cutting-edge AI projects with real-world conservation impact
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Exposure to advanced large language models (LLMs) and how they're trained and evaluated
Contribute to meaningful work that helps AI reason more responsibly about the natural world
Potential for ongoing work and contract extension
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