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Wildlife and Habitat Conservation Scientist
Job description
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 and reasons about conservation — making a real impact on how these critical topics are represented in cutting-edge technology.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly 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, conservation strategies, and biodiversity management approaches
- Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles
- Provide clear, structured feedback that directly improves AI outputs in your field
- Work independently and asynchronously 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, ecosystem dynamics, and conservation science
- Able to critically evaluate applied ecological reasoning presented in written form
- Comfortable reviewing structured scientific content and providing detailed, actionable feedback
- Self-motivated and reliable when working independently
Nice to Have
- Graduate degree in Ecology, Wildlife Biology, or a related field
- Experience in field research or active conservation programs
- Familiarity with AI systems or content evaluation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Apply your conservation expertise in a new and impactful way
- Contribute to work that shapes how AI understands and communicates about the natural world
- Potential for ongoing work and contract extension
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