Soil And Water Conservation Scientist Jobs in Vancouver, British Columbia, Canada
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Natural Resource Conservation Scientist
About the role
Natural Resource Conservation Scientist (AI Training)
About The Role
Your field expertise has real value beyond the field — and AI needs it now. 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.
This is a fully remote, flexible contract role where your scientific knowledge directly shapes how AI understands and communicates complex conservation topics. If you care about getting environmental science right, this is your opportunity to make an impact at the frontier of AI development.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
Review conservation science questions and real-world scenarios 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 sound, real-world conservation practices Provide clear, structured feedback to improve scientific reasoning and AI outputs Work independently and asynchronously — on your schedule, at your pace
Who You Are
3+ years of professional experience in natural resource conservation, environmental science, or a closely related field Strong working knowledge of ecosystems, land management principles, and conservation frameworks Able to critically evaluate scientific reasoning and applied recommendations with clarity Comfortable reviewing structured written content and providing detailed, actionable feedback Self-motivated and reliable when working independently on deadline-driven tasks
Nice to Have
Master's degree or PhD in Natural Resources, Environmental Science, or a related discipline Hands-on fieldwork or applied conservation project experience Familiarity with AI systems, content evaluation workflows, or scientific writing
Why Join Us
Meaningful work — your expertise helps ensure AI gets environmental science right Fully remote and flexible — work from anywhere, on a schedule that suits you Cutting-edge exposure — gain insight into how advanced AI language models are trained and evaluated Autonomy — task-based structure gives you control over your workload Global collaboration — connect with a network of subject matter experts across disciplines Potential for ongoing work — strong contributors are considered for contract extensions and new projects