Key skills
AILarge Language Models
About this role
Role Overview
- Review Q&A pairs generated by AI systems, human experts, or synthetic data pipelines.
- Evaluate outputs based on agronomic correctness, relevance, clarity, trustworthiness, inclusivity, and farmer usability.
- Create, review, and validate agricultural content cards.
- Support seasonal advisory planning and content prioritization.
- Validate technical correctness and contextual relevance of content.
Requirements
- Master's degree or higher in Agronomy, Agricultural Extension, Veterinary Sciences, Horticulture, Climate Sciences, or related disciplines.
- Minimum 5 years of experience in agricultural advisory, extension, research, or content development.
- Strong understanding of farming systems and farmer advisory services.
- Ability to review technical content critically and provide actionable feedback.
- Preferred Experience working with AI-assisted content systems.
- Experience reviewing digital agricultural advisory content.
- Familiarity with large language models (LLMs), AI evaluation, or RLHF processes.
- Experience integrating climate and gender considerations into agricultural recommendations.
Benefits
- Flexible work arrangements
- Professional development
- Monthly hours based on project needs
- Compensation based on approved outputs