Amazon is Hiring Digital Associate – Ring Data Engineering Services | Hyderabad | Freshers Can Apply

Job Description

Amazon is hiring Digital Associate for its Ring Data Engineering Services, Operations, IT, & Support Engineering team in Hyderabad. This opportunity is ideal for fresh graduates who are interested in Artificial Intelligence, Machine Learning, Data Annotation, Content Operations, Quality Assurance, and Data Engineering support.

As a Digital Associate, you will create high-quality annotations for images, videos, and audio files, generate accurate written content, perform quality checks, and support machine learning models by delivering high-quality labeled data.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: Amazon
𝐑𝐨𝐥𝐞: Digital Associate – Ring Data Engineering Services
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Hyderabad, Telangana
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞: Onsite
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Full-Time
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: Freshers

𝐀𝐛𝐨𝐮𝐭 𝐀𝐦𝐚𝐳𝐨𝐧

Amazon is one of the world's largest technology companies, delivering innovative solutions across e-commerce, cloud computing, artificial intelligence, smart devices, and digital services. Through its Ring Data Engineering Services team, Amazon supports the development of advanced AI and machine learning solutions that enhance customer experiences worldwide.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As a Digital Associate, you will support machine learning and AI projects by annotating images, videos, and audio data, creating high-quality written content, maintaining data quality, and ensuring annotation accuracy. You will use internal tools, follow standard operating procedures, and collaborate with teams to improve data quality and operational efficiency.

Roles & Responsibilities

- Perform image, audio, and video annotation tasks.

- Generate clear, accurate, and high-quality written content.

- Label and classify data for machine learning applications.

- Perform quality audits and verification of annotated data.

- Meet daily productivity and quality targets.

- Track annotation tasks using internal tools.

- Report issues and provide process improvement feedback.

- Follow standard operating procedures and compliance guidelines.

- Maintain confidentiality and data security standards.

- Support testing of new annotation tools and workflows.

Qualifications & Eligibility

- Bachelor's degree in any discipline.

- Fresh graduates can apply.

- Strong written and spoken English communication skills.

- Good grammar, language, and comprehension skills.

- Basic knowledge of Microsoft Office applications.

- Willingness to work flexible shifts, including weekends and holidays if required.

Skills Required

- Data Annotation

- Content Writing

- English Communication

- Grammar

- Quality Assurance

- Machine Learning Support

- Data Labeling

- Attention to Detail

- Microsoft Office

- Time Management

- Problem Solving

- Team Collaboration

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

- AI Data Operations

- Image Annotation

- Video Annotation

- Audio Annotation

- Data Quality Audits

- Process Improvement

- Analytical Thinking

- Documentation

- Confidentiality Management

- Operational Excellence

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐀𝐦𝐚𝐳𝐨𝐧?

- Work with one of the world's leading technology and AI companies.

- Gain hands-on experience supporting machine learning and AI projects.

- Learn industry-standard data annotation and quality assurance practices.

- Collaborate with global engineering and operations teams.

- Build expertise in AI data operations and content quality.

- Access continuous learning and career development opportunities.

- Start your career in a fast-paced, innovation-driven environment.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides an excellent foundation for careers such as:

- Data Associate

- AI Data Specialist

- Machine Learning Operations Associate

- Data Quality Analyst

- Content Quality Analyst

- Operations Associate

- AI Operations Analyst

- Data Annotation Specialist

- Business Operations Analyst

- Process Analyst

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

- Graduates from any discipline.

- Fresh graduates interested in Artificial Intelligence, Machine Learning, Data Operations, and Content Quality.

- Candidates with strong English writing and grammar skills.

- Individuals who enjoy working with data, maintaining quality, and following detailed processes.

- Aspirants looking to build a long-term career in AI, Machine Learning Operations, and Data Engineering support.