Natural Resource Conservation Scientist

Natural Resource Conservation Scientist (AI Training) About The Role AI is rapidly expanding into environmental science — and it needs experts like you to get it right. We're looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on conservation science, land management, and environmental decision-making. Your real-world expertise will directly shape how AI understands ecosystems, interprets conservation challenges, and recommends land management solutions. This is a fully remote, flexible contract role where your scientific knowledge makes a tangible difference. 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, case studies, and scenarios used in AI training datasets Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil science, hydrology, and biodiversity Assess whether AI-generated recommendations reflect real-world conservation practices and regulatory standards Identify gaps, errors, or misleading reasoning in AI outputs Provide clear, structured feedback to improve scientific reasoning and response quality Work independently and asynchronously — on a schedule that fits your life Who You Are 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field Strong foundational knowledge of ecosystems, land management principles, and conservation science Skilled at evaluating scientific reasoning and applied recommendations with precision Comfortable reviewing and annotating structured written content Self-motivated and reliable when working independently on task-based projects Nice to Have Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline Hands-on fieldwork or applied conservation experience Familiarity with AI systems, content evaluation, or data annotation workflows Experience with regulatory frameworks such as ESA, CWA, NEPA, or similar Why Join Us Work on cutting-edge AI projects that are shaping how technology understands the natural world Fully remote and flexible — complete tasks on your own schedule Freelance perks: autonomy, variety, and collaboration with a global community of scientists and experts Contribute to meaningful work that helps AI make more accurate, responsible environmental recommendations Potential for ongoing work and contract extension

Evaluate and improve AI systems by reviewing conservation science datasets and assessing the accuracy of AI-generated content. Provide structured feedback to ensure AI recommendations align with real-world conservation practices and regulatory standards.

Requires 3+ years of professional experience in natural resource conservation or environmental science with strong knowledge of ecosystems and land management. Candidates must be skilled in evaluating scientific reasoning and comfortable working independently on task-based projects.

• Autonomy • Variety of work • Collaboration with a global community of experts • Flexible schedule

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

• Natural Resource Conservation
• Environmental Science
• Land Management
• Ecosystem Analysis
• Soil Science
• Hydrology
• Biodiversity
• Scientific Reasoning
• Content Evaluation
• Data Annotation
• Regulatory Compliance
• Technical Writing

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

Formation minimale

Maîtrise

Expérience minimale

2+ ans

Postuler avant le

24 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Vancouver, British Columbia, Canada

Niveau d’expérience

Mid-Senior level