Wildlife and Habitat Conservation Scientist (AI Training) About The Role We're looking for wildlife and habitat conservation scientists to help shape how AI understands biodiversity protection and ecosystem management. Your scientific expertise will directly influence the accuracy and reliability of AI systems tackling some of the most critical environmental challenges of our time. This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge 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
• Assess the quality of ecological reasoning and conservation strategies in AI outputs
• Identify unrealistic assumptions, oversimplifications, or misapplied conservation methods
• Provide clear, structured feedback to improve the ecological validity of AI responses
• Work independently and asynchronously to complete task-based assignments on your schedule

Who You Are

• 3+ years of experience in wildlife biology, ecology, habitat conservation, or a related field
• Strong foundational knowledge of biodiversity and ecosystem management
• Able to critically evaluate applied ecological reasoning presented in written form
• Detail-oriented and comfortable reviewing structured scientific content at scale
• Self-motivated and reliable when working independently

Nice to Have

• Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field
• 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 that have real-world environmental impact
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Contribute to meaningful work that improves how AI reasons about the natural world
• Potential for ongoing work and contract extension