This study develops a framework to train and evaluate undergraduate students (non‐experts) in digitising tidal marigrams (graphs of sea‐level changes). Using data from Kilrush (County Clare) and Dún Laoghaire (County Dublin) in Ireland, it highlights best practices and challenges, especially misidentification, formatting errors and calibration issues. While most students performed well, the study highlights ways to identify those needing improvement. Focusing on error‐checking, the findings refine digitisation methods with quality assurance, preparing students and citizen scientists for climate research. Supported by visual materials, these techniques aid citizen science, enhance education and may support future machine learning development.