Liat Mor
About Liat Mor
Liat Mor is a Technical Solutions Engineer and Linguistics Specialist with a strong background in quality assurance and linguistic research. She has worked for several companies, including Intuition Robotics and IBM, and holds both a Bachelor of Arts and a Master of Arts in Linguistics.
Work at Verint
Liat Mor currently serves as a Technical Solutions Engineer and Linguistics Specialist at Verint. In this role, she applies her expertise in linguistics to develop technical solutions that meet client needs. Her position involves leveraging her knowledge of linguistic data analysis to enhance product offerings and improve user experiences. She has been with Verint since 2022.
Previous Experience at Intuition Robotics
Before joining Verint, Liat Mor worked at Intuition Robotics as a QA Engineer from 2019 to 2021. During her two years there, she focused on quality assurance processes, ensuring that products met the required standards. Her role involved testing and validating software applications, contributing to the overall quality of the company's offerings.
Background in Linguistics
Liat Mor has a strong academic background in linguistics. She studied at The Hebrew University of Jerusalem, where she earned a Bachelor of Arts in Linguistics from 2014 to 2018. She is currently pursuing a Master of Arts in Linguistics at Tel Aviv University, with an expected completion date in 2024. Her education has provided her with a solid foundation in linguistic theory and research methodologies.
Experience in Quality Assurance
Liat Mor has extensive experience in quality assurance across various roles. She worked as a Quality Analyst at Appen for 11 months in 2015, where she was responsible for analyzing data quality. Additionally, she spent five years at IBM as a Labeler and Text Analyst from 2014 to 2019, where she developed her skills in QA methodologies and data analysis.
Linguistic Research and Expertise
Liat Mor conducts linguistic research based on the analysis of linguistic data. She possesses expertise in semantic and phonetic tagging, which involves the categorization and labeling of linguistic elements. This skill set enhances her contributions to projects that require detailed linguistic analysis and understanding.