AI-Driven Agriculture & Data 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

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.