Wildlife and Habitat Conservation Scientist

Wildlife and Habitat Conservation Scientist (AI Training)

Are you a wildlife biologist or conservation scientist who wants to make an impact beyond the field? We're looking for conservation experts to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management.

Your scientific knowledge will directly shape how AI understands and communicates wildlife conservation — ensuring these systems reflect real-world ecological accuracy and sound conservation practice.

• Organization:
  Alignerr (Powered by Labelbox)
• Type:
  Hourly / Task-based Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy
• Assess the quality of ecological reasoning and conservation strategies presented in AI outputs
• Identify unrealistic assumptions, flawed methodology, or misapplied conservation approaches
• Provide clear, structured feedback to improve the ecological validity of AI content
• Work independently and asynchronously on your own schedule

• 3+ years of experience in wildlife biology, ecology, or habitat conservation
• Strong working knowledge of biodiversity principles and ecosystem management
• Able to critically evaluate applied ecological reasoning in written form
• Comfortable reviewing and annotating structured scientific content
• Self-motivated and reliable when working independently

• Graduate degree in Ecology, Wildlife Biology, or a related field
• Hands-on field research or conservation program experience
• Familiarity with AI tools or content evaluation workflows

• Work on cutting-edge AI projects at the intersection of science and technology
• Fully remote and flexible — work on your own schedule from anywhere
• Contribute to meaningful work that improves how AI handles critical environmental topics
• Freelance perks: autonomy, variety, and global collaboration
• Exposure to advanced large language models (LLMs) and how they're trained
• Potential for ongoing work and contract extension