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Conservation Scientist

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AquSag Technologies

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Location:
India , Noida

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Category:
Research and Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Join our team as a Conservation Scientist - AI Trainer and combine your expertise in natural resource management with the cutting edge of artificial intelligence. In this unique position, you will leverage your conservation knowledge to train AI systems, ensuring that technology supports sustainable land management, soil and water conservation, and environmental protection. You’ll play a pivotal role in bridging scientific best practices with AI-powered solutions for maximum environmental impact.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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

Additional Information:

Job Posted:
February 16, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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