Digital Agriculture & AI Integration Intern

Join Vylor—Powering the Future of Agriculture

At Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer®, Brevant®, and Hoegemeyer®, delivering performance farmers rely on.

Join us to help scale innovation globally and shape what’s next in crop science.

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,…