Natural Resource Conservation Scientist

Toronto, Ontario, Canada
Remote
Posted Oct 3, 2026
1 position

US$30–US$55 / hour

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Employment type: Contract
Experience level: Mid-level · 2+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 40 hours per week
Location requirements: Country, Toronto, Ontario, Canada
Seniority: Mid-Senior level

Job summary

Review conservation science questions and scenarios used to train AI, and evaluate the scientific accuracy of AI-generated content and recommendations. Provide clear, structured feedback to improve AI reasoning and outputs on conservation topics.

Job details

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

What you’ll do

Requirements

Candidates need at least three years of professional experience in natural resource conservation, environmental science, or a related field, along with strong knowledge of ecosystems, land management, and conservation frameworks. They must be able to assess scientific reasoning, provide actionable written feedback, and work independently; a relevant master's degree or PhD and applied field experience are preferred.