Vylor is seeking a motivated Digital Agriculture & AI Integration Intern to support strategic digital-transformation initiatives across global seed production and agricultural operations. Working with regional field teams, agronomy and data partners, and global seed production support teams, the intern will help coordinate digitization projects, organize approved knowledge resources for internal AI tools, and validate digital insights for field use. 

This internship offers hands-on experience in project coordination, stakeholder engagement, data quality, responsible AI enablement, and digital-tool validation within a global agricultural business. 

Duration: Six months preferred; qualified candidates available for a three-month summer internship may also be considered. 

Key Responsibilities 

Digital Project Coordination and Feasibility 

• Support project scoping, requirements gathering, and documentation for regional digitization efforts  

• Assist in evaluating the use and effectiveness of current digital tools, such as SCiO moisture sensors, and help assess their potential scalability 

• Coordinate with regional field teams, global support teams, and approved technology partners to clarify integration pathways and internal-system requirements 

• Track actions, risks, decisions, and project progress, and communicate updates to key stakeholders 

AI Knowledge Preparation and Validation 

• Collect, organize, and curate approved standard operating procedures, training materials, and product information for potential use by internal large language model (LLM) and AI tools 

• Support the development and testing of prompt-and-response approaches for internal Copilot and AI use cases 

• Evaluate AI-generated responses for accuracy, relevance, consistency, and alignment with approved source materials 

• Document gaps, errors, and improvement opportunities while following Vylor''s data-governance, privacy, information-security, and responsible-AI requirements 

Field-Tool Validation and Insight Enablement 

• Collaborate with agronomy, field, and data teams to evaluate insights from internal digital platforms, remote sensing, and weather and soil data 

• Support field teams in assessing irrigation insights and validating digital monitoring methods against field observations 

• Help improve dashboards and reporting by identifying missing data, inconsistencies, outliers, and opportunities to improve usability 

• Summarize findings and communicate practical recommendations to technical and nontechnical stakeholders 

Qualifications 

Required 

• Currently pursuing a bachelor''s degree in agricultural engineering, data science, agronomy, computer science, information systems, agricultural systems technology, or a related field 

• Minimum 3.0 cumulative GPA

• Strong interest in digital agriculture, artificial intelligence, data integration, or agricultural technology

• Strong written and verbal communication skills, with the ability to work across technical and nontechnical teams 

• Demonstrated organization, attention to detail, critical thinking, and problem-solving skills 

• Ability to handle company information responsibly and follow established data, privacy, and information-security requirements 

Preferred 

• Experience with Microsoft Excel, Power BI, or similar data-analysis and visualization tools

• Basic scripting or data-analysis experience using Python, R, SQL, or a comparable language

• Exposure to agricultural field operations, remote sensing, geographic information systems (GIS), irrigation, or environmental data

• Familiarity with generative AI, prompt development, data curation, or evaluating AI-generated outputs 

What You Will Gain 

• Exposure to global digital-agriculture and seed-production strategies 

• Practical experience supporting responsible AI use cases, knowledge preparation, and data governance

• Understanding of field operations, irrigation strategies, agronomic data, and digital monitoring tools 

• Experience coordinating projects and communicating with regional and global stakeholders

• Opportunities to strengthen data-analysis, digital-tool validation, and professional communication skills