Forestry and Land Management Scientist (AI Training)

Forestry content review

Evaluate generated scenarios and recommendations about forests and land management. The work helps improve the accuracy of AI material used in environmental planning and conservation.

• Assess forest health, land use, ecosystem management, and sustainability content.
• Check recommendations for scientific validity and practical soundness.
• Identify mistakes, missing information, and oversimplified management advice.
• Provide organized feedback that improves applied reasoning and environmental decisions.

Required experience

At least three years of hands-on forestry, land management, or closely related work is required. You need strong knowledge of forest ecosystems, silviculture, and sustainable land use.

You should critically assess resource management decisions and written technical material. Careful independent work is essential, while previous AI experience is unnecessary.

Helpful background and terms

A degree in Forestry, Natural Resources, Environmental Science, or a related area is useful. Land-use planning, conservation programs, regulatory frameworks, and AI content assessment experience are welcome.

This hourly contract is fully remote and flexible, with asynchronous assignments and international collaboration. Further work or an extension may be available.