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 real-world expertise will directly shape how AI understands, reasons about, and communicates conservation science — making a meaningful impact on one of the most important applications of AI 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 presented by AI
- Identify unrealistic assumptions, flawed methodologies, or misapplied conservation techniques
- Provide clear, structured feedback that improves how AI models handle complex ecological topics
- Work independently and asynchronously on a schedule that fits your life
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 management
- Able to critically evaluate applied ecological reasoning presented in written form
- Comfortable reviewing and annotating structured scientific content with precision
- Self-motivated and reliable — you can manage your own time and meet deadlines without micromanagement
Nice to Have
- Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field
- Field research or conservation program management experience
- Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs and help define how AI handles complex scientific topics
- Fully remote and flexible — complete tasks on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global team of subject-matter experts
- Contribute to meaningful work that ensures AI gets conservation science right
- Potential for ongoing work and contract extension
