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Amazon digital associate @ Hyderabad





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About Company

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. Amazon’s evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company’s DNA. The world’s brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.


 Job highlights

  • Bachelor's degree with strong command of English and background in linguistics or creative writing

  • Create high-quality written content and perform annotation tasks for audio, image, and video files

Experience : 0 - 4 Years


Vacancy : 99


Package : ₹ 3 Lacs P.A


Location : Hyderabad



Job description


Role & responsibilities


As a SA/VLM associate, you will be responsible for creating high-quality written content for videos/images and/or labeling of objects on audio, image, and/or video-file. Your primary focus will be on producing clear, concise, and informative content that meets the needs of the target audience.



Key job responsibilities

• Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team.


• May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements.


• Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage.


• Maintaining high internal quality of the processes by performing quality audits/verification.


• Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them.


• Track daily task completion status using recommended tools and provide individual status reports.


• Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools.


• Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality.


• Offering remedial instruction in tool usage and other topics as required.



Requirements:

• Strong command of the English language, including grammar, syntax, and vocabulary.


• Background in linguistics, creative writing, computational linguistics, or a related field is preferred.


• Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system.


• Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required


• Flexibility and Interest to do repetitive tasks is required.


• High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential


• Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated.


• Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.


• Passion for language, technology, and AI advancements.


• Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously.


Preferred candidate profile


  • Bachelor's degree

  • Speak, write, and read fluently in English

  • Knowledge of Microsoft Office products and applications


  • Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays

  • Certification in any of the following: Content Writing, Creative Writing, English Literature, English, Literary Arts, Linguistics, English as a Second Language Teaching (preferred).

HOW TO APPLY 

    CLICK HERE FOR APPLY 

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