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