Data Linguist - French, Alexa NLU in Berlin

BESCHREIBUNG

Job summary
Amazon is seeking a French speaking Data Linguist to join our Alexa data team. This role focuses on speech and language data, primarily in the areas of grammar writing, text annotation, and general language expansion deliverables.

The Data Linguist must be capable of:

• Building a thorough understanding of labeling conventions and provide support to global sites
• Localizing established guidelines from English into French
• Developing French grammars and other forms of NLU applications
• Improving deployed grammars by expanding coverage, accuracy, and eliminating bugs
• Delivering high quality data output under aggressive deadlines
• Working autonomously with minimum direction
• Handling unique data analysis requests from a range of data customers
• Contributing to process improvements to reduce handling time and improve data output
• Diving deep into issues and implement solutions independently
• Providing quality expertise to other team members and coaching improvements

In addition, the French Data Linguist will need to quickly understand changes in response to customers’ requests and change workflows accordingly. The French Data Linguist must have a passion for data, efficiency, and accuracy as well as:

• Show proactive efforts in addressing issues and problems
• Excellent communication, strong organizational skills and very detail oriented
• Comfortable working in a fast paced, highly collaborative, dynamic work environment
• Willingness to support several projects at one time, and to accept re-prioritization as necessary
• Ability to keep up with changing project conventions and priorities

About the team
Alexa AI NU ΩMEGA (Operations and Modeling science for non-English and Global domain Acceleration) owns fast language expansion and all aspects of NU modeling and science operations for International and Global Domain representing millions of active users per month. We are committed to driving and releasing improvements for NU performance while improving model build and release efficiency.