Amazon Data Associate French 

Poland, Pomeranian Voivodeship, Gdansk 

174391237

Key job responsibilities
• Work with a range of text, speech and other types of data.
• Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using in-house tools and software.
• Report issues with tools and software as and when they occur.
• Show Ownership and initiative when providing feedback for improvements to existing tooling that can increase the amount and quality of the data we process - we believe every ground-breaking change starts with a small idea!
• Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.What We Offer
• Opportunity to work in a leading world-class organization, dedicated to making everyday life simpler for millions of people
• Competitive salary
• Benefits packageA day in the life
We are looking for a Data Associate (DA) to undertake the task of foundational labelling functions, such as dialogue evaluation on speech & text data, to assess and improve Alexa’s performance in everyday situations.To effectively change the world, you need to be a bit different - your adaptability, focus, and attention to detail in a constantly shifting environment are unparalleled; you pride yourself on your ability to recognise issues - and come up with elegant and innovative solutions. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. So, an inner drive, individuality, and a creative mind are extremely beneficial.

• Speak, write, and read fluently in French
• Comfortable working with speech from various dialects and accents of one or more of the following regional languages: French
• High-School or equivalent diploma
• Speak, write, and read fluently in English
• Knowledge of Microsoft Office products and applications

• Continuous efforts to deliver the high quality data such as self-analysis
• Experience working with speech or language data, including experience with annotation
• Other forms of data markup
• Practical knowledge of data processing needs and trade-off