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, adaptable 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

📌 Natural Resource Conservation Scientist (Toronto)
🏢 Alignerr
📍 Toronto