Natural Resource Conservation Scientist

Natural Resource Conservation Scientist (AI Training)

About The Role

AI is increasingly being used to inform environmental decisions — and it needs to get things right. We're looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.

Your field knowledge will directly shape how AI understands ecosystems, responds to conservation challenges, and communicates scientific recommendations. This is a rare opportunity to influence the future of AI from a domain that genuinely matters.

• 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
• Evaluate the scientific accuracy of AI-generated content related to land use, ecosystems, soil, water, and biodiversity
• Assess whether AI recommendations reflect credible, real-world conservation practices
• Provide clear, structured feedback to improve AI scientific reasoning and outputs
• Work independently and asynchronously on your own schedule

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
• Able to critically evaluate scientific reasoning and applied recommendations with clarity
• Comfortable reviewing structured written content and delivering detailed, actionable feedback
• Self-motivated and reliable in a remote, asynchronous work environment

Nice to Have

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

Why Join Us

• Work on cutting-edge AI projects with real-world environmental impact
• Fully remote and flexible — work when and where it suits you
• 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