Data Classification (French) AI Analyst

Netanya, IL

Revuze is a startup with a mission to revolutionize the way in which market research is being conducted by collecting millions of consumer reviews from the top e-tailers and turning them into actionable insights at a click. The most world renowned brands in the electronics, cosmetics, apparel, hygiene and food industry, are currently using Revuze to improve their competitive positioning and product development/innovation road map.

We are currently seeking individual who is proficient in French, to join our Global Data Classification team, based in Montreal, Canada. This team is responsible for ensuring the quality of data analysis and the sentiment system learning process.

In this role, you will be responsible for analyzing data collected by the company and categorizing it into various conversation topics. This process is facilitated by a machine learning system we train to recognize and interpret content and sentiment. Additional responsibilities include maintaining existing projects and creating new ones. 

You will also play a key role as the focal point for the Data classification team located in Canada and the R&D team located in IL. You will help bridge gaps, promote projects, and open bottlenecks.

The work is from our office at Netanya. We work in a hybrid model of 3 days at the office and 2 days from home.


  • Fluent in French (mother tongue level) and English Mandatory. Fluency in more languages is an advantage.
  • Availability to have a Daily meeting every day at 16:00 (except for Sunday)
  • Tech orientation and ability to learn software quickly and comprehensively.
  • Attributes of responsibility, attention to detail, and thoroughness.
  • Project management and problem-solving skills.
  • Excellent communication skills. 
  • Demonstrated independence, curiosity, and a knack for self-learning.
  • Adaptability and the capability to work under pressure with tight deadlines.
  • A team player with the capacity to work independently.
  • Prior quality assurance (QA) experience is advantageous.
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