Natural Resource Conservation Scientist

About The Role

What if your scientific expertise could help shape how AI understands the natural world? We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making. Your field knowledge will directly influence how the next generation of AI tools reason about ecosystems, soil health, biodiversity, and sustainable land use — work that matters far beyond the screen.

Organization

Alignerr (Powered by Labelbox)

Type

Hourly / Task-Based Contract

Location

Fully Remote

Commitment

10–40 hours/week

What You'll Do

• Review conservation science questions and real-world scenarios used in AI training datasets
• Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil science, hydrology, and biodiversity
• Assess whether AI recommendations reflect current, real-world conservation practices and standards
• Provide structured, expert feedback to improve the quality of AI scientific reasoning and outputs
• Work independently and asynchronously — on your schedule, from anywhere

Who You Are

• 3+ years of professional experience in natural resource conservation, land management, or environmental science
• Strong working knowledge of ecosystems, conservation principles, and applied land management practices
• Able to critically evaluate scientific reasoning, identify errors, and articulate clear improvements
• Comfortable reviewing structured written content and delivering detailed, constructive feedback
• Self-motivated and reliable when working independently on task-based projects

Nice to Have

• Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field
• Hands-on fieldwork or applied conservation experience
• Familiarity with AI systems, content evaluation, or data annotation workflows