Job Overview
Role: Digital Associate (Ring Data Engineering Services) Location: Chennai, Tamil Nadu Experience: Not specified Qualification: Bachelor's Degree or equivalent Key Skills: English, Data Annotation, Content Creation, Quality Verification, Microsoft Office, Data Processing
Job Description
Amazon Recruitment 2026 is hiring a Digital Associate for its Ring Data Engineering Services team in Chennai, Tamil Nadu. This role focuses on data annotation, content generation, quality verification, and machine learning data processes. The selected SA/VLM Associate will work with audio, image, and video files, create high-quality written content, and label objects according to defined instructions. Strong English language skills, attention to detail, analytical ability, and the capacity to meet daily productivity and quality targets are essential. Candidates require a Bachelor's degree or equivalent and familiarity with Microsoft Office applications.
Roles and Responsibilities
- Annotation Tasks: Perform simple annotation-related tasks within a defined ML data process.
- Multimedia Work: Work with audio, image and video files using internal tools and software.
- Data Collection: Participate in data collection activities when scripts and instructions are provided.
- Compliance: Follow compliance and confidentiality requirements during data collection and annotation.
- Content Generation: Apply grammar, syntax and linguistic rules when generating written content.
- Quality Assurance: Perform quality audits and verification to maintain internal process quality.
- Productivity & Quality: Meet daily productivity and quality targets.
- Query Tracking: Track annotation and data collection queries and share them with relevant stakeholders.
- Task Tracking: Track daily task completion using recommended tools.
- Reporting: Provide individual status reports as required.
- Confidentiality: Adhere to confidentiality and compliance requirements relating to customer data and Amazon.
- Process Improvement: Help test new Standard Operating Procedures and ML data tools. Provide timely feedback to improve processes and consistency. Provide remedial instruction related to tool usage and other topics when required.
Skills and Eligibility Criteria
Educational Background: Bachelor's degree or equivalent qualification.
Experience: Not specified, typically entry-level.
Mandatory Technical Skills:
- English Language: Strong command of English grammar, syntax and vocabulary.
- Content Writing: Ability to create clear, concise and informative written content.
- Data Annotation: Ability to perform annotation tasks involving audio, image and video files.
- Analytical Skills: Ability to evaluate and interpret data to improve process or system performance.
- Quality Checking: Ability to identify and correct errors or inconsistencies.
- Attention to Detail: Ability to maintain accuracy across repetitive tasks.
- Microsoft Office: Familiarity with Word, Excel and other Office applications.
Competencies:
- Problem-Solving: Ability to investigate issues and determine appropriate solutions.
- Time Management: Ability to prioritize multiple assignments and meet daily deadlines.
- AI Interest: Interest in language, technology and AI advancements.