Machine Learning Data Associate with German

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Employer: Amazon
  • Customer Support - Client Service
  • Job type: full-time
    Job level: 0 - 1 years of experience
  • Updated at: 12.06.2024
    Remote work: On-site
    Short company description

    Our mission is to be Earth's most customer-centric company. This is what unites Amazonians across teams and geographies as we are all striving to delight our customers and make their lives easier, one innovative product, service, and idea at a time.


    - Upper Intermediate written and oral communication in English and an Advanced level for German
    - Excellent MS office skills especially MS Excel
    - High School Diploma or equivalent
    - Position is located in Bucharest office (no work from home opportunity)


    At Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo, Dot or Tap. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop.
    Join us, and you'll be taking part in changing the future of everyday life.
    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. Specifically, the Data Associate will:
    - 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 judgment-based decisions keeping in mind the guidelines provided in the SOP.
    - Contribute in team initiatives to improve overall process efficiency and quality


    • Medical insurance
    • Life insurance
    • Trainings
    • Courses
    • Transport cost reimbursement
    • Discount for company products / discount for services of partner companies
    • Flexible work schedule
    • Fun / Relax Area
    • Meal vouchers

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