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Conservation scientist – home office

liberado em 20 de fevereiro de 2026

HO l Home Office
Freelancer
Engenheiro Agrônomo
Engenheiro Ambiental
Engenheiro Florestal

Responsabilidades

  • Collaborate with AI developers to train and refine models using real-world conservation scenarios and data sets.
  • Apply principles of agronomy, soil science, forestry, and agriculture to support the accurate development of AI-powered conservation tools.
  • Design, review, and validate training materials and datasets representing best practices in soil and water management, erosion control, and rangeland protection.
  • Advise AI teams on conservation plans, land management problems, and sustainable solutions based on field expertise.
  • Monitor and assess AI project outputs to ensure alignment with conservation design specifications and environmental standards.
  • Develop actionable recommendations for AI-driven conservation strategies such as crop rotation, reforestation, and nutrient management.
  • Communicate complex scientific concepts clearly to technical and non-technical stakeholders through written and verbal channels.

Requisitos

  • QUALIFICAÇÕES MÍNIMAS
    • Proven background as a Conservation Scientist, Resource Conservationist, or a related profession (e.g., Soil Conservationist, Land Reclamation Specialist).
    • Demonstrated experience in land, soil, or water resource management and protection.
    • Strong written and verbal communication skills, with an ability to translate environmental science into actionable insights for diverse audiences.
    • Familiarity with conservation practices such as crop rotation, contour plowing, terracing, and erosion control techniques.
    • Experience advising farmers, ranchers, or land managers on sustainable practices.
    • Capacity to work collaboratively within cross-functional remote teams, providing expert guidance to AI developers and data scientists.
    • Detail-oriented approach to reviewing, curating, and validating scientific datasets and materials.
  • QUALIFICAÇÕES PREFERENCIAIS
    • Experience working with AI or machine learning projects in an advisory or training capacity.
    • Advanced degree in Environmental Science, Soil Science, Forestry, or a related field.
    • Previous involvement in developing or implementing conservation plans alongside technical teams.
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