Job Overview

Amazon is hiring for a Digital Associate role within Ring Data Engineering Services, Operations, IT, & Support Engineering in Hyderabad. The role focuses on annotation and data-related activities involving audio, images, and video files, along with the creation of clear written content for multimedia data.

The position requires associates to follow defined instructions and internal processes, use team-provided tools, maintain quality standards, and support data collection and machine learning data workflows. Strong English language skills are important because the role involves creating and reviewing written content.

Key Responsibilities

• Perform annotation tasks within a defined machine learning data process area, including audio, image, and video-file related work.
• Use internal tools and software provided by the team to complete assigned data and annotation activities.
• Participate in data collection activities when scripts and instructions are provided.
• Apply appropriate grammar, syntax, language rules, and strong language skills when producing or reviewing written content.
• Perform quality audits and verification activities to maintain the required internal process quality.
• Meet daily productivity and quality targets for assigned work.
• Track annotation and data collection queries and share relevant information with stakeholders to support resolution.
• Record daily task completion using recommended tools and provide individual status reports.
• Follow confidentiality and compliance requirements to protect customer data and Amazon information.
• Support testing of new standard operating procedures and machine learning data tools.
• Provide timely and specific feedback to improve processes and promote consistent, high-quality results.

Required Skills

• Strong English communication skills, including the ability to speak, write, and read fluently in English.
• Good grammar and understanding of linguistic rules for producing accurate written content.
• Ability to follow scripts, instructions, process guidelines, and compliance requirements.
• Ability to perform repetitive annotation, verification, and quality-related activities while maintaining accuracy.
• Ability to track work status, queries, and assigned task completion.

Education

A Bachelor's degree or equivalent is required.

Preferred Qualifications

• Knowledge of Microsoft Office products and applications.
• Willingness and ability to work flexible schedules that may include weekends, nights, and holidays.

Technologies and Tools

• Machine Learning – The role includes annotation and data activities within a machine learning data process area and testing of ML data tools.
• Microsoft Office products and applications – Knowledge of Microsoft Office is listed as a preferred qualification.

Work Mode & Location

The position is based in Hyderabad, Telangana, India, under Operations, IT, & Support Engineering. The job description does not specify a remote or hybrid arrangement, so the configured work mode is onsite.

Who Should Apply

This opportunity is suited to candidates with a bachelor's degree or equivalent who have strong English reading, writing, and speaking skills and can work carefully with structured annotation and data processes. Candidates should be comfortable following detailed instructions, meeting productivity and quality targets, maintaining confidentiality, and providing accurate status updates and process feedback.

Work Requirements

The preferred qualifications indicate that the role may require flexible scheduling, including work during weekends, nights, and holidays. Candidates should review these scheduling requirements when considering the opportunity.

How to Apply

Apply now through SoftoJobs to explore this opportunity.