Job Overview
Role: Digital Associate, Ring Data Engineering Services, Operations, IT, & Support Engineering Location: Hyderabad Experience: Not specified Qualification: Bachelor's Degree or equivalent Key Skills: ML Data Operations, Data Annotation (audio, image, video), Content Creation, Quality Verification, Data Collection, English (written, spoken, read), Microsoft Office, Attention to Detail, Analytical Skills, Confidentiality, Time Management
Job Description
Amazon Recruitment 2026 is hiring for the position of Digital Associate, Ring Data Engineering Services, Operations, IT, & Support Engineering in Hyderabad, Telangana. The position is a full-time opportunity under Amazon's Operations, IT, & Support Engineering organization. The role focuses on ML data operations, data annotation, content creation, quality verification and data collection. As a SA/VLM Associate, the selected candidate will work with audio, image and video files, create high-quality written content, label objects and follow internal processes to maintain accuracy and consistency. Candidates should have a Bachelor's degree or equivalent and be fluent in written, spoken and read English.
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 Creation: Apply appropriate grammar, syntax and language rules when generating written content.
- Quality Assurance: Perform quality audits and verification to maintain internal quality standards.
- Performance Targets: Meet daily productivity and quality targets.
- Query & Status Reporting: Track annotation and data collection queries and share them with relevant stakeholders; Track daily task completion using recommended tools; 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.
Mandatory Technical Skills:
- English Communication (fluent in spoken, written and read English)
- Grammar, syntax and appropriate language usage
- Data Annotation (simple tasks involving audio, image and video data)
- Content Creation (clear, concise and informative written content)
- Quality Verification (quality audits and verification activities)
- Analytical Skills (understand task-related issues, identify patterns or inconsistencies)
- Time Management (meet daily productivity and quality targets)
Competencies:
- Ability to follow detailed instructions and internal processes
- Attention to detail
- Microsoft Office (familiarity preferred)
- Confidentiality (follow customer data and information security requirements)