Digital Associate, Ring Data Engineering Services

Technology, Data & Digital · Data, AI & Analytics · Data Engineering

In short

As a Digital Associate in Ring Data Engineering Services, you will create high-quality written content for videos/images and label objects in audio, image, and video files. This role involves performing annotation tasks, adhering to quality targets, and applying strong language and grammar skills. A Bachelor's degree and experience with written/spoken English are required.

Responsibilities

  • Perform simple annotation-related tasks in ML data process areas (audio, image, video).
  • Use internal tools and software provided by the team.
  • Participate in data collection activities following provided scripts and instructions.
  • Apply language skills, grammar knowledge, and linguistic rules for content generation.
  • Maintain high internal quality through audits and verification.
  • Meet daily productivity and quality targets.
  • Track and share queries related to annotation/data collection with stakeholders.
  • Track daily task completion status and provide individual status reports.
  • Adhere to confidentiality and compliance requirements.
  • Help test new SOPs and ML data tools.
  • Provide feedback to streamline processes and improve results.
  • Offer remedial instruction in tool usage and other topics.

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.
  • Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc.
  • Flexibility and interest in performing repetitive tasks.
  • High level of energy and proactive nature.
  • Sense of ownership and drive, and willingness to accept the challenge of daily deadlines.
  • Attention to detail and ability to identify and rectify errors or inconsistencies.
  • Strong problem-solving skills.
  • 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.

Desired Qualifications

  • Bachelor's degree or equivalent.
  • Experience in written and spoken English.
  • Ability to compose grammatically correct, concise and accurate written responses.
  • Knowledge of Microsoft Office products and applications.
  • Experience in English-language communication skills, both written and verbal.

Benefits

  • Inclusive culture empowering Amazonians to deliver the best results.
  • Work in a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
#Data Engineering#Machine Learning#Content Creation#Annotation

Company

Amazon

Job Posted

18 hours ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Entry

Locations

Chennai, India

Qualification

Bachelor

Applicants

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