Digital Associate, Ring Data Engineering Services
Amazon· Operations, IT, & Support Engineering
About this role
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.
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
- Experience in written and spoken English and an ability to compose grammatically correct, concise and accurate written responses
Preferred qualifications
- Knowledge of Microsoft Office products and applications
- Experience in English-language communication skills, both written and verbal
- Work in a flexible schedule/shift/work area, including weekends, nights, and/or 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.
Frequently Asked Questions
Is the salary disclosed for the Digital Associate, Ring Data Engineering Services position at Amazon?
The salary for this Digital Associate, Ring Data Engineering Services role at Amazon is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Digital Associate, Ring Data Engineering Services position at Amazon located?
This Digital Associate, Ring Data Engineering Services role at Amazon is based in Chennai, Tamil Nadu, IND. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Digital Associate, Ring Data Engineering Services role at Amazon full-time or part-time?
This is listed as a full time position. It is posted as a Digital Associate, Ring Data Engineering Services role in the Operations, IT, & Support Engineering department at Amazon.
Which team or department does the Digital Associate, Ring Data Engineering Services at Amazon belong to?
This Digital Associate, Ring Data Engineering Services position is part of the Operations, IT, & Support Engineering department at Amazon. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Digital Associate, Ring Data Engineering Services position at Amazon?
Click the "Apply Now" button on this page. You will be redirected to Amazon's official application portal hosted on amazonjobs where you can submit your application directly.
When was the Digital Associate, Ring Data Engineering Services job at Amazon posted?
This Digital Associate, Ring Data Engineering Services position at Amazon was posted on Sep 19, 2026. Apply as soon as possible — early applications are often reviewed first.
Digital Associate, Ring Data Engineering Services
Amazon
You'll be redirected to Amazon's official application page on amazonjobs.