Eric Stoner

Hello, I'm Eric Stoner, a highly detail-oriented Data Annotation Professional with over six years of experience in accurately labeling and categorizing diverse datasets for machine learning and AI model training. My expertise lies in maintaining high levels of quality and consistency while working with various data types, including images, text, audio, and video. I am eager to leverage my strong analytical skills and commitment to data integrity to contribute to the development of robust AI systems.

In my current role at Alignerr, I annotate and validate large volumes of data with high accuracy and efficiency, ensuring that the data used to train machine learning models is of the highest quality. I apply complex annotation guidelines consistently across various projects and actively participate in quality assurance processes, reviewing annotated data for errors and providing constructive feedback to my peers. My experience at Telus AI further solidified my skills in data annotation and general LLM training, where I identified and reported inconsistencies in annotation guidelines, contributing to their refinement and clarity.