Natural Resource Conservation Scientist

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

Evaluate the scientific accuracy of AI-generated content related to land use, ecosystems, and biodiversity. Provide structured feedback to improve the reasoning and outputs of AI systems trained on conservation science.

Requires at least 3 years of professional experience in natural resource conservation or environmental science. Candidates must be able to critically evaluate scientific recommendations and work independently on a flexible schedule.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Natural Resource Conservation
• Environmental Science
• Land Management
• Ecosystem Analysis
• Scientific Reasoning
• Content Evaluation
• Biodiversity Assessment
• Soil and Water Management
• Technical Writing
• AI Training

• Environmental & Sustainability
• Science & Research
• Technology
• Data & Analytics
• Software

Formation minimale

Maîtrise

Expérience minimale

2+ ans

Postuler avant le

19 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Toronto, Ontario, Canada

Niveau d’expérience

Mid-Senior level