Ekaterina Yatsenko

I am an experienced Data Annotation and Labeling Specialist with a proven track record in enhancing machine learning models through strategic data management and annotation. My specialization in computational linguistics has been instrumental in projects across various sectors, particularly in agriculture and digital media, where I have developed and refined annotation systems to improve AI accuracy in complex environments such as crop recognition and pest detection. At Fermata, I led the implementation of advanced data labeling guidelines and trained global teams, significantly improving the quality and reliability of AI training data.

My skills extend beyond technical expertise to include project management, quality control, and the development of comprehensive training materials. I have successfully managed projects that integrate diverse data types, requiring meticulous attention to detail and a deep understanding of machine learning workflows. My efforts have consistently resulted in improved model performance and efficiency, positioning me as a key contributor to the pioneering use of AI in practical applications. My ability to communicate complex concepts effectively and collaborate across interdisciplinary teams further enhances my capability to lead data annotation initiatives at a high level.

Data Annotation and Labelling Specialist, Fermata | October 2021 - April 2024, Remote

AI Project Coordinator, Fermata | April 2024 - now, Remote

MA Applied Museum and Heritage Studies

Reinwardt Academy (Amsterdam University of the Arts) |Sep 2022 - Nov 2023

BA Journalism, Peoples’ Friendship University of Russia (PFUR) | Sep 2011 - June 2016

Exchange program, Faculty of Arts and Philosophy, Vrije Universiteit Brussels (VUB) | Feb 2015 - June 2015

Professional retraining program, Language Interpretation and Translation (English/Russian), Peoples’ Friendship University of Russia (PFUR) |Sep 2011 - April 2016