Job Post
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Agronomist
(Expert Layer Development for Agri AI Assistant)
(Expert Layer Development for Agri AI Assistant)
We are seeking an experienced professional for the Agronomist (Expert Layer Development for Agri AI Assistant) role to support agricultural and AI-driven projects in Thailand. The selected candidate will contribute to the development of agronomic knowledge systems, working closely with project teams to deliver high-quality, locally relevant agricultural insights and solutions.
Responsibilities
The agronomist will work under the direction of Project Lead, in collaboration with the implementation partner in Thailand. Key responsibilities include:
- Knowledge Collection and Curation
- Identify and collect relevant agronomy knowledge sources including journals, theses, dissertations, research reports, and extension materials in local languages.
- Prioritize locally relevant materials related to major crops, pests and diseases, soil fertility, and crop management practices.
- Support partnerships with universities, research institutes, and agricultural organizations to access relevant research materials.
- Review and filter materials to ensure scientific validity, practical relevance, and contextual applicability for smallholder farmers.
- Agronomic Knowledge Structuring
Support the development of structured agronomic datasets and knowledge resources, including:
- Crops and varieties, including key agronomic characteristics and suitability.
- Fertilizers and nutrient management practices, including recommended dosage and application timing.
- Pests and diseases, including symptoms, causal agents, and recommended control strategies.
- Crop protection products, including product names, active ingredients, target pests, recommended crops, dosage, and resistance management considerations.
- Recommended agronomic practices and technologies, organized by crop and growth stage.
- Developing a dictionary mapping local farmer terminology with scientific agronomic terminology to improve Agri AI Assistant’s understanding of farmer queries.
- Developing diagnostic frameworks linking crop symptoms, potential causes, and recommended agronomic actions to support AI-based problem identification.
- Contributing to the organization of knowledge into structured formats suitable for building locally relevant agronomy knowledge graphs.
- Ensuring recommendations are aligned with safe agronomic practices and regulatory guidelines.
- AI Evaluation and Expert Review
- Develop benchmark question sets that simulate real farmer inquiries across crops and regions.
- Periodically review responses generated by Agri AI Assistant and compare them with other AI systems or agronomic references.
- Evaluate responses based on accuracy, completeness, clarity, and practical usefulness for farmers.
- Identify incorrect, incomplete, or misleading recommendations and provide suggested corrections and improvements.
- Field Feedback and User Insights
- Work with implementing partners to collect feedback from farmers and field staff regarding the usefulness and clarity of Agri AI Assistant responses.
- Identify common farmer questions, misunderstandings, and gaps in the AI system’s knowledge.
- Provide recommendations for improving the relevance, usability, and localization of agronomy advice.
Deliverables
- Curated agronomy literature and knowledge sources
- Structured datasets of crops, pests, fertilizers, crop protection products, and agronomic practices
- Diagnostic frameworks and terminology dictionaries for farmer queries
- Periodic expert evaluation reports
- Farmer feedback summaries and recommendations
- Technical inputs for agronomy knowledge graphs and AI training materials
Qualifications
- Advanced degree in agronomy, crop science, soil science, plant protection, agricultural extension, or related field
- At least 5 years of relevant experience in agronomy, agricultural research, extension, or technical advisory work
- Strong knowledge of paddy rice and sugarcane agronomy in Thailand
- Familiarity with Thai crop calendars, nutrient management, pest and disease management, and common farmer practices
- Ability to review and synthesize agronomic information from journals, research reports, extension materials, and other technical sources
- Ability to translate technical agronomic knowledge into practical recommendations suitable for farmers and field users
- Experience in developing or reviewing structured agronomic content, such as crop guides, diagnostic frameworks, or advisory materials
- Familiarity with local farmer terminology and the ability to connect it with scientific agronomic language
- Experience with digital agriculture tools, advisory platforms, or AI-related agriculture work is an advantage
- Must be fluent in Thai and have a good working knowledge of English
- Strong analytical skills, attention to detail, and ability to work collaboratively with remote and in-country teams
To Apply
This is an exciting opportunity for someone with a deep interest in regenerative agriculture to build a meaningful career while working closely with farmers and communities. Our team values collaboration, sustainability, and cultural diversity, creating an environment that supports growth and innovation.
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