Level

Amazon

Digital Associate, Ring Data Engineering Services

Amazon is hiring a Digital Associate, Ring Data Engineering Services in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

Perform data annotation, labeling, and content creation for machine learning datasets and video/audio processing.

excelword
data-annotationcontent-creationlinguisticsquality-assurance
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.


Basic qualifications

- Bachelor's degree or equivalent
- Speak, write, and read fluently in English

Preferred qualifications

- Knowledge of Microsoft Office products and applications
- Work flexible schedule including weekends, nights, and holidays

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.

How we rate this

Digital Associate, Ring Data Engineering Services at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data AnnotationContent CreationLinguisticsQuality AssuranceExcelWord

Questions you could be asked

  1. Tell me about a project where data annotation was part of your work. What did you do?
  2. Tell me about a project where content creation was part of your work. What did you do?
  3. Tell me about a project where linguistics was part of your work. What did you do?
  4. Tell me about a project where quality assurance was part of your work. What did you do?
  5. Walk me through how you've used Excel in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Annotation, Content Creation, Linguistics, Quality Assurance, and Excel. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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