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, reasons about, and communicates complex conservation topics — making a real impact on one of the most important domains in AI development.
- 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 evaluate proposed conservation strategies
- Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts
- Provide clear, structured feedback to improve the scientific integrity of AI outputs
- 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 working knowledge of biodiversity principles and ecosystem management practices
- Able to critically evaluate applied ecological reasoning presented in written form
- Comfortable reviewing and annotating structured scientific content
- Detail-oriented, self-motivated, and reliable
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 or content evaluation workflows
Why Join Us
- Work on cutting-edge AI projects that put your domain expertise to meaningful use
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global community of experts
- Contribute to work that helps AI get conservation science right
- Potential for ongoing work and contract extension
