Data & AI Intern

Verdesian Asia • Cary, NC

4h

About The Position

This internship focuses on organizing and preparing historical field trial documents (PDFs, PowerPoint files, spreadsheets) for AI-driven analysis. The intern will be responsible for capturing and validating document metadata, building and maintaining structured reference tables (including product and formulation tables, and product name/alias mappings), and assisting with defining and validating standardized trial data schemas. Key tasks also include reviewing and quality-checking AI-extracted data, flagging ambiguous or low-confidence data for expert review, and writing simple Python scripts for data cleaning, validation, and comparison. The intern will document assumptions, data standards, and edge cases to support long-term project use. The role offers hands-on experience applying AI to unstructured enterprise data, exposure to real-world data processing and AI workflow design, and an understanding of the connection between R&D, data science, and commercial decision-making in industry. Mentorship from experienced field scientists and data practitioners is provided, culminating in a portfolio-worthy project with tangible impact. By the end of the internship, contributions will include a standardized product and alias reference system, a searchable trial document repository, clean and validated datasets ready for AI extraction and analytics, and documentation to enable project scalability.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• Experience working with structured data (tables, CSV files, basic schemas)
• Basic proficiency in Python
• Strong attention to detail and comfort working with messy, real-world data
• Ability to document work clearly and communicate findings to technical and non-technical teammates.
• Interest in applied AI, data science, agriculture, biology, or environmental science

Nice To Haves

• Familiarity with NLP, machine learning, or large language models (coursework or projects) is a plus.

Responsibilities

• Organize and prepare historical field trial documents (PDFs, PowerPoint files, spreadsheets) for AI-driven analysis
• Capture and validate document metadata (crop, location, year, product, file type, etc.)
• Build and maintain structured reference tables, including: Product and formulation tables, Product name and alias mappings (legacy names, internal codes, marketing names)
• Assist with defining and validating standardized trial data schemas
• Review and quality-check AI-extracted data from field trial documents
• Help flag ambiguous or low-confidence data for expert review
• Write simple scripts (e.g., Python) for data cleaning, validation, and comparison
• Document assumptions, data standards, and edge cases to support long-term use

Benefits

• Hands-on experience applying AI to unstructured enterprise data
• Exposure to real-world data processing and AI workflow design
• Understanding of how R&D, data science, and commercial decision-making connect in industry
• Mentorship from experienced field scientists and data practitioners
• A portfolio-worthy project with tangible, lasting impact

What This Job Offers

• Career Level: Intern
• Number of Employees: 101-250 employees