Natural Resource Conservation Scientist

Natural Resource Conservation Scientist (AI Training)

About The Role

AI is being trained to reason about ecosystems, land management, and conservation — and it needs real experts to get it right. We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems working in environmental science and conservation decision-making.

Your field knowledge will directly shape how AI understands complex environmental challenges, making this an opportunity to extend your conservation impact far beyond traditional roles.

• 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 scenarios and questions used to train AI systems
• Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil, water, and biodiversity
• Assess whether AI recommendations reflect real-world conservation practices and current scientific understanding
• Identify gaps, errors, or misleading reasoning in AI outputs
• Provide clear, structured feedback that improves AI scientific reasoning
• 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 identify when recommendations miss the mark
• Comfortable reviewing structured written content and translating expert judgment into actionable feedback
• Self-motivated and reliable — you can manage your own workload and meet deadlines independently

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, content evaluation workflows, or technical writing

Why Join Us

• Work on cutting-edge AI projects shaping how the world's most advanced models understand environmental science
• Fully remote and flexible — complete tasks on your own schedule from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global community of subject matter experts
• Make a meaningful impact by ensuring AI gets conservation science right
• Potential for ongoing work and contract extension as projects grow