
Eligibility Criteria
Bachelorβs degree or equivalent in any discipline, minimum 50% marks, no backlogs. Strong written and spoken English skills, attention to detail, and ability to work consistently against daily targets. Familiarity with Microsoft Office is preferred.

Job Description & Key Responsibilities
Amazon is a global technology leader that transforms the way people shop, stream content, and interact with technology. With a presence in over 200 countries, Amazonβs mission is to be Earthβs most customerβcentric company, and it achieves this through relentless innovation and a culture that empowers employees to think big. The Ring Data Engineering Services team, part of Amazonβs broader data science and machine learning ecosystem, focuses on creating highβquality training data that fuels AI models used across the companyβs product portfolio. The Digital Associate role is a key entryβlevel position that supports this mission by handling data annotation, content generation, and quality verification tasks.
Role Summary
The Digital Associate will work with audio, image, and video files, applying internal tools and guidelines to produce accurate annotations and written content. The role requires a strong command of English, meticulous attention to detail, and the ability to meet daily productivity and quality targets. Associates will also conduct quality audits, track task completion, and provide feedback to improve processes.
Key Responsibilities
1. Perform annotation tasks on audio, image, and video data following defined ML data processes.
2. Generate concise, grammatically correct written content based on audio transcripts or image descriptions.
3. Conduct quality audits and verification to maintain internal standards.
4. Meet daily productivity and quality targets set by the team.
5. Track annotation queries and share them with stakeholders.
6. Use internal tools to log task completion and status reports.
7. Adhere to confidentiality and compliance requirements regarding customer data.
8. Participate in testing new SOPs and ML data tools.
9. Provide remedial instruction on tool usage when needed.
10. Collaborate with crossβfunctional teams to improve data quality and process efficiency.
Tech Stack
While the role is primarily dataβcentric, familiarity with Microsoft Office (Word, Excel) and basic data handling tools is preferred. The internal annotation platform and content creation tools are proprietary and will be trained on the job.
Growth Path
Digital Associates can progress to senior annotation roles, data quality analysts, or transition into data engineering and ML operations roles. Amazonβs internal mobility framework encourages skill development through training programs, mentorship, and crossβteam projects.
Why Join Amazon
Amazon offers a dynamic work environment that rewards innovation, provides competitive compensation, and supports continuous learning. Employees benefit from comprehensive benefits, flexible work arrangements, and a culture that values diversity and inclusion. Working at Amazon means contributing to products that impact millions of users worldwide and building a career in a company that is constantly evolving.