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HomeFresher JobsAmazon Walk-In 2nd Sept 2022 Freshers & Experience

Amazon Walk-In 2nd Sept 2022 Freshers & Experience

Amazon Walk In Interview 2022 Amazon Notification full details below. Interested and eligible candidates can attend interview on scheduled time and venue.Amazon.com strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon.com continues to grow and evolve as a world-class e-commerce platform.

Vacancy details:

  • Post Name: ML Data Associate (English +Hindi)
  • Qualification: Any Graduate
  • Experienced:0 to 2 years
  • Salary:₹ 2,50,000 – 3,00,000 P.A.

Job Description: Amazon Hiring For ML Data Associate (English +Hindi) !

Important Details :

  • Location: Hyderabad/Secunderabad
  • Date:2nd September
  • Time:10.00 AM – 12.30 PM onwards
  • Venue:- Amazon Development Centre India Pvt. Ltd, Building No. H03, Avance Business Hub, Phoenix Infocity Private Limited, IT/ITES SEZ, Gachibowli Village, Serilingampally Mandal, Hyderabad, Telangana – 500081
  • Post of date:30/08/2022
  • Selection Process: The selection will be on the basis of Interview.

Job description.

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.

Basic qualifications

  • Graduation is Mandate
  • Mandate Proficiency in English (both written and verbal)
  • Good typing speed (> 40 wpm and >90% accuracy) and basic troubleshooting abilities.

Job Location: Hyderabad/Secunderabad / Hyderabad.

Walk-in Location:

Amazon Development Centre India Pvt. Ltd, Building No. H03, Avance Business Hub, Phoenix Infocity Private Limited, IT/ITES SEZ, Gachibowli Village, Serilingampally Mandal, Hyderabad, Telangana 500081

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.

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