Wildlife and Habitat Conservation Scientist

Wildlife and Habitat Conservation Scientist (AI Training)

We're looking for wildlife and habitat conservation scientists to help shape how AI understands biodiversity, ecosystems, and conservation science. Your field expertise will directly influence the accuracy and reliability of AI systems tackling some of the most important ecological challenges of our time.

This is a fully remote, flexible contract role — work on your own schedule while making a meaningful impact on cutting-edge AI technology.

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

• Review wildlife and habitat conservation scenarios used in AI training datasets
• Evaluate the accuracy of ecological reasoning, species assessments, and conservation strategies
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation practices
• Provide clear, structured feedback to improve the scientific validity of AI outputs
• Work independently and asynchronously to complete task-based assignments on your schedule

• 3+ years of hands‑on 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 scenarios
• Comfortable reviewing and annotating structured scientific content
• Detail‑oriented, self‑motivated, and reliable

• Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field
• Experience in field research or conservation program management
• Familiarity with AI systems, content evaluation, or data annotation workflows

• Work on cutting‑edge AI projects with leading research labs
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Contribute to meaningful work that helps AI better serve conservation and environmental science
• Potential for ongoing work and contract extension