Amazon is hiirng for Digital associate

The job you are looking for is no longer available..
Company Name
Amazon
Company Website
http://amazon.com/
Job Role
Digital associate
Job Type
  • Experienced
  • Fresher
Job Location
  • Hyderabad
Education
  • Graduate
Branch
  • Aerospace Engineer
  • Electromechanics Engineering
  • Thermal Engineering
  • MBA
  • Industrial Engineer
  • Automobile Engineering
  • Electrical and Electronics Engineering
  • Production Engineering
  • Mechatronics
  • Chemical
  • Mining
  • Civil
  • Metallurgy
  • Electronics and Communication Engineering
  • Automation / Instrumentation
  • Electrical Engineering
  • Electronics and Telecommunication
  • IT
  • CS
  • Mechanical Engineering
Job will expire on
23 Apr 2024

Eligibility Criteria

  • 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.

Job Description

  • 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.