Natural Resource Conservation Scientist

Natural Resource Conservation Scientist (AI Training) About The Role

We’re looking for experienced natural resource conservation scientists to help shape how AI understands environmental science, land management, and conservation decision‑making. Your expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and practitioners worldwide. 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

• 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, water, and biodiversity.
• Assess whether AI outputs reflect sound, real‑world conservation practices and principles.
• Provide clear, structured feedback to improve AI scientific reasoning and recommendations.
• Work independently and asynchronously to complete task‑based assignments on your own schedule.

• 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field.
• Strong foundational knowledge of ecosystems, land management strategies, and conservation principles.
• Able to critically evaluate scientific reasoning and applied conservation recommendations.
• Comfortable reviewing structured written content and providing detailed, actionable feedback.
• Self‑motivated and reliable when working independently in a remote environment.

• Master’s degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline.
• Hands‑on fieldwork or applied conservation project experience.
• Familiarity with AI systems, content evaluation workflows, or data annotation.

• Work on cutting‑edge AI projects that are shaping the future of environmental science applications.
• Fully remote and flexible — design your own schedule around your life.
• Freelance perks: autonomy, variety, and collaboration with experts across the globe.
• Contribute to meaningful work that helps AI get environmental science right.
• Potential for ongoing work and contract extension based on performance.