Data Associate I, Amazon JOB ID- 4288

Description

 

Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Our Human Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services.

 

Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.

 

We are looking for highly motivated and talented candidates who will provide and/or review high quality data annotation for variety of workflows. The ideal candidate must demonstrate strong analytical & communication skills, attention to details, and a commitment to excellence.

 

Key job responsibilities

 

Responsibilities

 

As a Data Associate I, ML, you will be responsible for providing timely and quality data annotation for a variety of workflows. The tasks therefore will be repetitive in nature and will require the candidate to make quick decisions keeping in mind the provided guidelines. Your key responsibilities will include (but not limited to) the below:

 

Meets business metrics and goals, i.e., SLA, production, and quality targets

Works with minimal direction

Maintains records of day- to-day work by updating trackers or workflow tools as necessary

Follows SOP/guidelines or manager's instructions and ensures output is quality compliant

Contributes to project improvement and operational excellence ideas, as applicable

Responsible for giving timely responses to stakeholders on related tasks with guidance, i.e., as per SOP and defined SLA

Proactively raises issues /alarms that may have an impact on core deliverables or operations to manager or stakeholders

Analyzes data and evaluate trends/ patterns and recommend generic pattern to be translated into rules

Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products

Troubleshooting issues related to process and conduct root cause analysis if required

Familiarity with online retail (e-commerce)

 

Basic Qualifications

 

Bachelor's degree

Speak, write, and read fluently in English

Experience with Microsoft Office products and applications

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Preferred Qualifications

 

Knowledge of Excel at an advanced level

 

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

 

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Educational Qualification

Candidates Who Have Passed Graduate or its Equivalent from a Recognized Board or University Are Eligible For this recruitment. Kindly check the Official Notification for more qualification details. Notification Link Is Given Below.

Document Required

Required Documents for This recruitment: Candidate should have these documents before applying online. Candidates are suggested to read the official notification before applying.

  • Qualification certificate with mark sheets.
  • Passport size photographs.
  • Signature.

How to Apply

All the eligible candidates can apply for this job as mentioned below:

  • Read official notification carefully from the official website.
  • Read notification carefully before applying.
  • Fill the application form (link is given below).
  • Attach required documents and passport size photo with signature.
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