Remote Wildlife Conservation Scientist AI Training
Position: Remote Wildlife Conservation Scientist for AI Training
Wildlife and Habitat Conservation Scientist (AI Training)
• We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your field expertise will directly shape how AI understands and reasons about conservation — making a real impact on one of the most important frontiers in both technology and environmental science.
• About
• The Role
• 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
• Assess the quality of ecological reasoning and conservation strategies produced by AI
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts
• Provide clear, structured feedback that improves the ecological validity of AI outputs
• Work independently and asynchronously on your own schedule
• Who You Are
• 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 presented in written form
• Comfortable reviewing and annotating structured scientific content
• Self-motivated and reliable in a remote, task-based environment
• Nice to Have
• Graduate degree in Ecology, Wildlife Biology, or a related field
• 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 at the intersection of science and technology
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that helps AI better understand the natural world
• Potential for ongoing work and contract extension
• #J-18808-Ljbffr
Apply To this Job
Wildlife and Habitat Conservation Scientist (AI Training)
• We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your field expertise will directly shape how AI understands and reasons about conservation — making a real impact on one of the most important frontiers in both technology and environmental science.
• About
• The Role
• 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
• Assess the quality of ecological reasoning and conservation strategies produced by AI
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts
• Provide clear, structured feedback that improves the ecological validity of AI outputs
• Work independently and asynchronously on your own schedule
• Who You Are
• 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 presented in written form
• Comfortable reviewing and annotating structured scientific content
• Self-motivated and reliable in a remote, task-based environment
• Nice to Have
• Graduate degree in Ecology, Wildlife Biology, or a related field
• 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 at the intersection of science and technology
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that helps AI better understand the natural world
• Potential for ongoing work and contract extension
• #J-18808-Ljbffr
Apply To this Job