Digital Agriculture & AI Integration Intern

Vylor Inc.; Des Moines (IA); On-site; USD 21,000 - 30,000; Part time

Job summary

Vylor, Inc. invites you to join our Digital Agriculture & AI Integration Internship in Des Moines, IA. You will coordinate digitization projects, organize AI-ready knowledge resources, and validate digital insights for field use.

The role offers hands-on experience in AI enablement, data quality, and project coordination across regional and global teams. Ideal for students in relevant engineering or data fields seeking practical exposure to responsible AI and field operations.

Qualifications

• 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

Responsibilities

• 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
• Collect, organize, and curate approved SOPs, training materials, and product information for potential use by internal 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 data-governance and responsible-AI requirements
• Collaborate with agronomy, field, and data teams to evaluate insights from internal digital platforms, remote sensing, and weather data
• Support field teams in assessing irrigation insights and validating digital monitoring methods
• Help improve dashboards and reporting by identifying data issues
• Summarize findings and communicate practical recommendations to technical and nontechnical stakeholders

Skills

Communication skills

Digital agriculture

AI interest

Data integration

Project coordination

Education

Bachelor’s degree in agricultural engineering, data science, agronomy, computer science, information systems, agricultural systems technology, or related field

Tools

Microsoft Excel

Power BI

Python

R

SQL

Job description

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, 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

Join Vylor to help connect agricultural knowledge, field insights, data, and emerging technology in ways that support better decisions across global seed production.

Corteva announced to separate our current advanced seed and genetics business to establish a standalone company, operating as Vylor, Inc. The process of the planned separation is anticipated to be completed the fourth quarter of 2026, subject to legal requirements and board approval. Should you accept this position, it is anticipated that, following conclusion of the separation, you would be an employee of Vylor, Inc. and your employment would be governed by Vylor, Inc. employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by Vylor, Inc. at an appropriate time and subject to any necessary consultation processes.

Vylor is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.