Job Overview
Role: Digital Associate (Ring Data Engineering Services, Operations, IT, & Support Engineering) Location: Hyderabad, Telangana Experience: Not specified Qualification: Bachelor's degree or equivalent Key Skills: Data Annotation, Content Creation, English, Quality Verification, Data Collection, Microsoft Office
Job Description
Amazon Recruitment 2026 is hiring a Digital Associate for its Ring Data Engineering Services team in Hyderabad, Telangana. This full-time role focuses on ML data operations, data annotation, content creation, quality verification, and data collection. The selected SA/VLM Associate will work with audio, image, and video files, create high-quality written content, label objects, and adhere to internal processes for accuracy and consistency. Candidates require a Bachelor's degree or equivalent, fluency in written and spoken English, and familiarity with Microsoft Office products.
Roles and Responsibilities
- Annotation Tasks: Perform annotation-related tasks involving audio, image and video files.
- Tool Usage: Use internal Amazon tools and software for assigned tasks.
- 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 appropriate grammar, syntax and language rules when generating written content.
- Quality Assurance: Perform quality audits and verification to maintain internal quality standards.
- 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.
- Process Improvement: Help test new Standard Operating Procedures and ML data tools. Provide timely feedback to improve existing processes. Support efforts to make data annotation processes more consistent and accurate.
Skills and Eligibility Criteria
Educational Background: Bachelor's degree or equivalent qualification.
Experience: Not specified, typically entry-level.
Mandatory Technical Skills:
- English Communication: Fluency in spoken, written and read English.
- Grammar: Strong understanding of grammar, syntax and appropriate language usage.
- Data Annotation: Ability to perform simple annotation tasks involving audio, image and video data.
- Content Creation: Ability to create clear, concise and informative written content.
- Attention to Detail: Ability to identify inconsistencies and maintain high-quality outputs.
- Quality Verification: Ability to conduct quality audits and verification activities.
- Analytical Skills: Ability to understand task-related issues and identify patterns or inconsistencies.
- Microsoft Office: Familiarity with Microsoft Office products is preferred.
Competencies:
- Confidentiality: Ability to follow customer data and information security requirements.
- Time Management: Ability to meet daily productivity and quality targets.
