Digital Associate, Ring Data Engineering Services
Amazon· Operations, IT, & Support Engineering
ChennaiFull-timePosted yesterday
About the 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, focusing on clear, concise, and informative content that meets the needs of the target audience.
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.
Qualifications
- Bachelor's degree or equivalent
- Speak, write, and read fluently in English
- Knowledge of Microsoft Office products and applications (preferred)
- Work flexible schedule including weekends, nights, and holidays (preferred)
- Strong command of the English language, including grammar, syntax, and vocabulary
- Background in linguistics, creative writing, computational linguistics, or related field (preferred)
- Analytical mindset with ability to evaluate and interpret data
- Familiarity with Windows desktop environment and tools (Word, Excel, IE, Firefox)
- Flexibility and interest to do repetitive tasks
- High energy, proactive, sense of ownership, ability to meet daily deadlines
- Attention to detail and ability to identify/correct errors in descriptions
- Strong problem-solving skills in a fast-paced, collaborative environment
- Passion for language, technology, and AI advancements
- Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously
Skills
Required:Annotation and labelingEnglish language proficiencyQuality assurance
Last updated Oct 25, 2026. Interested? Apply on the company site.
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