ML Data Associate Italian, Alexa Shopping
Create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.
We are seeking a Data Associate for our annotation and data investigation operations team. This team plays a critical role in improving Alexa’s natural language understanding (NLU) leading to improved customer experience quality metrics and positive business impact. The Data Associate should have a passion for data, efficiency, and accuracy and will work under the direction of Operations manager and Sr. Data Associates.
This is an onsite role so presence at the office will be required 5 days a week.
Key job responsibilities
As part of your role, you will have the opportunity to:
* Process annotation & data investigation tasks with high efficiency and quality in a fast paced environment.
* Deliver on assigned SLAs and KPIs like productivity, turnaround time, quality, etc.
* The tasks will be primarily repetitive in nature and will require the candidate to make
- based decisions keeping in mind the guidelines provided in the Standard Operating Procedure.
* Contribute in team initiatives to improve overall process efficiency and quality.
About the team
Alexa Shopping Operations is a team with a mission to help create a world class shopping experience for Amazon customers. Our north star goal is to enable the expansion of seamless shopping experience in everyday life at voice commands by simply interacting with the smart devices like Amazon Show, Spot, Echo, Dot, Tap or Alexa on Amazon App. We work on labeling the data sets for model training and analyzing the data sets for improving customer experience. These data sets generated are consumed by engineering teams like Natural Language Understanding, Machine
Learning Science to develop, test and train the Alexa models with the highest quality data for improving the shopping experience. Come, partner with us to build the future.
BASIC QUALIFICATIONS
- Speak, write, and read fluently in Italian- Speak, write, and read fluently in English
- Knowledge of Microsoft Office products and applications
PREFERRED QUALIFICATIONS
- A Bachelor’s Degree or relevant work experience- Strong
- solving skills
- Able to work in a fast paced environment
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