Responsibilities
- Provide domain expertise to improve AI models related to soil and plant sciences.
- Review, annotate, and validate datasets for scientific accuracy and relevance.
- Translate research in soil science and plant physiology into structured inputs for AI training.
- Collaborate with AI engineers to refine model outputs using agronomy best practices.
- Develop practical scenarios around crop yield, soil management, and pest control.
- Identify gaps or inconsistencies in AI outputs and recommend improvements.
Requirements
- Advanced degree in Soil Science, Plant Science, Agronomy, or a related field.
- Experience in soil analysis, crop physiology, breeding, or plant management research.
- Strong written and verbal communication skills for explaining complex scientific concepts.
- Familiarity with agricultural practices such as soil classification and crop productivity studies.
- High attention to detail with a rigorous approach to data review and validation.
- Ability to work independently in a remote, collaborative environment.
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