Wildlife and Habitat Conservation Scientist

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 communicates conservation science — making a real impact on one of the most important fields of our time.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible hours, work on your own schedule

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, misapplied methodologies, or flawed conservation logic
• Suggest improvements to ensure AI outputs reflect real-world scientific standards
• Provide clear, structured feedback using evaluation frameworks
• Work independently and asynchronously to meet project milestones

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
• 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, content evaluation, or annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that helps AI better understand and support conservation science
• Potential for ongoing work and contract extension