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🏢 Amazon

Associate, ML Data Operations, GO-AI Operations

💼 Remote 📍 IND, TS, Hyderabad - Virtual, IND, KA, Bangalore - Virtual, IND, TN, Chennai - Virtual, IND, MH, Mumbai - Virtual, IND, AP, Virtual
💰 Salary
Rs 45000 per month
📍 Location
IND, TS, Hyderabad - Virtual, IND, KA, Bangalore - Virtual, IND, TN, Chennai - Virtual, IND, MH, Mumbai - Virtual, IND, AP, Virtual
⏳ Deadline
21 Aug 2026
🚀
Jobdexo Rating: Excellent
Highly recommended — great pay, solid company, clear process.
💰 Salary Insights
Rs 45000 per month
📊 View Detailed Salary Insights ↗
🛠 Skills Required
Data analysis Attention to detail Accuracy Video and image processing Data interpretation Teamwork Communication Problem-solving

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🎤 Interview Experience
The interview process for the Associate, ML Data Operations, GO-AI Operations role typically involves three rounds: an online test, a technical interview, and an HR interview. The online test assesses the candidate's technical skills and knowledge, while the technical interview evaluates the candidate's problem-solving and teamwork skills. The HR interview assesses the candidate's fit with Amazon's values and culture. The interview process is designed to be challenging, but it provides an opportunity for candidates to showcase their skills and knowledge.
🏢 Work Culture
Amazon is known for its inclusive and diverse work culture, which empowers employees to deliver the best results for customers. The company offers a range of benefits and opportunities for growth and development, including career advancement, professional growth, and work-life balance. Amazon's work culture is focused on innovation, customer satisfaction, and teamwork.

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✅ Eligibility Criteria
Bachelor's degree, No specific branch or percentage mentioned, No backlog policy mentioned
🏆 Selection Process
Round 1: Online test → Round 2: Technical interview → Round 3: HR interview (based on company knowledge)
🎯

Don't miss this opportunity!

Apply before 21 Aug 2026 — only 23 days left

✅ Apply on Official Website →
📋 About the Role
Amazon is an American multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the world's most valuable companies and is known for its customer-centric approach. The company's mission is to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online. The company was founded in 1994 by Jeff Bezos and has since grown to become one of the largest and most successful companies in the world. Amazon's e-commerce platform allows customers to search and purchase products from a wide range of categories, including books, electronics, clothing, and more. The company also offers a range of services, including Amazon Prime, which provides customers with free two-day shipping, streaming of music and video content, and other benefits. Amazon's cloud computing platform, Amazon Web Services (AWS), provides a range of services to businesses and developers, including storage, computing power, and database services. The company's artificial intelligence (AI) capabilities are used in a range of applications, including customer service, product recommendations, and supply chain management. The Associate, ML Data Operations, GO-AI Operations role is part of Amazon's efforts to improve the efficiency and accuracy of its operations. The role involves working with video and image data to identify and correct errors in the stowing process at Amazon's fulfillment centers. The Associate will be responsible for watching videos of the stowing process, identifying errors, and marking the location of products on a tool. This role requires a high degree of accuracy and attention to detail, as well as the ability to work independently and as part of a team. Key responsibilities of the Associate, ML Data Operations, GO-AI Operations role include: * Watching several hundred videos in a shift and providing responses by following goals on accuracy, speed, and right/acceptable practices * Verifying or marking the location of products through a tool while maintaining the highest level of accuracy * Working in a 24x7 environment with rotational shifts, including night shifts * Maintaining a dedicated workspace and ensuring that workspace/work-related data is not accessed by anyone other than the employee * Working in a remote team environment and being a good team player * Being willing to switch on laptop camera while on virtual meetings * Being willing to come to the office for a few days when required * Meeting incremental targets/goals on quality and productivity * Identifying details from blurry, less sharp videos and providing correct responses * Working in a fast-paced environment and implementing changes quickly * Consistently performing at a high level and meeting expectations The Associate, ML Data Operations, GO-AI Operations role offers a range of opportunities for growth and development, including: * Working with a wide range of technologies and tools, including video and image processing software * Collaborating with a team of experienced professionals to improve the efficiency and accuracy of Amazon's operations * Developing skills in data analysis and interpretation, as well as attention to detail and accuracy * Opportunities for career advancement and professional growth within Amazon * A dynamic and fast-paced work environment with opportunities to learn and grow Why join Amazon? Amazon is a company that is passionate about innovation and customer satisfaction. We are committed to being Earth's most customer-centric company, and we are always looking for talented individuals who share our values and are passionate about making a difference. As an Associate, ML Data Operations, GO-AI Operations, you will have the opportunity to work with a wide range of technologies and tools, collaborate with a team of experienced professionals, and develop skills in data analysis and interpretation. You will also have opportunities for career advancement and professional growth within Amazon.
🎯

Don't miss this opportunity!

Apply before 21 Aug 2026 — only 23 days left

✅ Apply on Official Website →
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📋 Quick Info
JOB ID
C197-J039
POSTED
2h ago
TYPE
Remote
BATCH
All Batches
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