Amazon Jobs for Freshers 2024 for GO-AI Associate

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Amazon Mass Hiring

* Role: Go AI Associate
* Salary: 3.0- 3.5 LPA(Expected)
* Location: Bangalore  India
* Experience: Freshers(0-1Year)
* Education BE CS/IT/All Branch
* Batch Recent-Batch

Amazon Jobs For Freshers 2024 For GO-AI Associate.

Amazon Jobs for Freshers 2024
                                                                         Amazon Jobs for Freshers 2024

Amazon jobs for freshers 2024 ,Amazon jobs for bca freshers,Amazon Jobs for Freshers 2023, Amazon jobs,it jobs vacancy,freshersworld,jobsforu,freshershunt.

Job Description:-

Key job responsibilities

The Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center’s stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image annotations with high degree of accuracy and duration.

The candidate is expected to demonstrate:

  • Commitment to meet deadlines
  • Constructive spirit of discontent & mental toughness
  • Pace of implementation & consistency in performance
  • Ability to Annotate video based Jobs for prolonged time
  • Ability to work with remote teams and exceptionally good team player

A day in the life

GO-AI Associates work in 24X7 environment with rotational shifts.  Associates would be working in a 9 hour shift, including breaks. The shift timings would be subject to change every quarter or as per business requirement. In case the associate is working in night shift, night shift allowance will be provided as per the applicable Amazon’s work policy.

Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.

Locations:  Bangalore (It is mandatory to be present in the Bangalore location in order to onboard )

About the team

GO-AI provides human support to Amazon Fulfillment facilities with the goal of enabling hands-free active stowing through visual annotations on videos/images. Videos with a brief duration (typically between 15 and 20 seconds) are sent to GO-AI so that humans can annotate them with information on the products being stored at fulfilment centers. For business use, these videos need to be thoroughly reviewed and annotated using the best human judgement. The effectiveness of the automated process will be increased by using videos that GO-AI Associates have annotated. This process helps in maintaining stow quality at the fulfillment center.

Basic qualifications

Graduation in any stream. Good knowledge of MS office.

0 – 24 months of experience in any domain with good logical reasoning skills.

Preferred qualifications

  • Non- Engineering academic background.
  • Strong inter personal & communication skills
  • Excellent listening skills
  • Excellent Data Accuracy skills
  • Eye for Detail
  • Good Knowledge of MS office
  • Demonstrable understanding of the Internet and ability to set up/use laptop or Desktop and basic understanding of tools /applications required in a day to day work environment. 

How to Apply?

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  • Clicking on the apply link will take you to the company’s application portal.
  • Enter your personal details and any other information requested by the company in the application portal.
  • Pay close attention to the instructions provided and fill out all necessary fields accurately and completely.
  • Double-check all the information you provided before submitting the application.
  • Ensure that your contact information is correct, up-to-date, and accurately reflects your qualifications and experience.
  • Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview and resume shortlisting process.

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