Natural Resource Conservation Scientist

Conservation science review

Evaluate AI training material on environmental science and natural resource management. The work focuses on whether generated explanations and recommendations reflect sound science and practical conservation standards.

• Review conservation questions, scenarios, and case studies.
• Check content involving land use, ecosystems, soils, hydrology, and biodiversity.
• Assess recommendations against accepted conservation practices and land management requirements.
• Identify scientific mistakes, missing information, and misleading reasoning.
• Write organized feedback that improves response quality and scientific thinking.

Required background

At least three years of professional experience in natural resource conservation, land management, or environmental science is required. You need strong knowledge of ecosystems, conservation principles, and practical land management.

You should critically evaluate scientific arguments and recognize recommendations that are flawed or impractical. Detailed written feedback, reliable independent delivery, and careful review of structured content are essential; previous AI experience is unnecessary.

Helpful experience

Graduate study at master's or doctoral level in Natural Resources, Environmental Science, Ecology, or a related area is useful. Fieldwork, applied conservation, environmental policy, land management regulation, ecosystem restoration, technical writing, and evaluation experience are also relevant.

Arrangement

This hourly remote contract offers flexible asynchronous assignments and international collaboration. Further work or an extension may become available.