Data & AI Intern

Job description

Qualifications: - 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 - 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. - Familiarity with NLP, m...