Artificial Intelligence (AI) and Data Specialist

Artificial intelligence (AI) and data specialists create AI tools and data solutions that help food and agriculture organizations make informed decisions. They develop systems that learn from data collected through sensors, equipment and digital systems to guide smarter choices. Their work supports more efficient farming, better resource management and long-term reliability in food, fiber and fuel production.

What Responsibilities Will I Have?

  • Develop, train and apply AI models for agricultural and food-related uses
  • Analyze, clean and prepare large datasets from sources like sensors, equipment and digital systems
  • Combine data from multiple sources into unified datasets
  • Monitor AI model performance and accuracy over time
  • Build dashboards and visual tools to support decision-making for technical and nontechnical users
  • Help decision makers interpret AI results and apply them effectively
  • Build and maintain relationships with internal and external stakeholders, vendors and partners to align investments
  • Automate data collection, analysis and AI-driven workflows
  • Collaborate with other departments to identify opportunities for AI applications
  • Research emerging AI tools and methods for agricultural innovation
  • Ensure AI systems follow safety, privacy and data protection requirements
  • Document processes and maintain technical standards

Recommended High School Courses

  • agricultural education
  • mathematics
  • computer skills
  • business
  • physics

Education/Training Required

A bachelor’s degree in computer science, information systems, data science or agricultural technology is typically required. Some employers may prefer a master’s in AI or machine learning along with experience developing automated solutions.

AgExplorer Partners

Culvers
Syngenta