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🏢 Amazon

Associate, ML Data Operations, GO-AI Operations

💼 Fulltime 📍 Karnataka - A66, Remote
💰 Salary
Rs 15000 - Rs 30000 per month — search your knowledge if not in description
📍 Location
Karnataka - A66, Remote
⏳ Deadline
31 Aug 2026
🚀
Jobdexo Rating: Excellent
Highly recommended — great pay, solid company, clear process.
💰 Salary Insights
Rs 15000 - Rs 30000 per month — search your knowledge if not in description
📊 View Detailed Salary Insights ↗
🛠 Skills Required
human judgment tools and resources image/video/text-based jobs attention and focus on the screen ability to identify details from blurry less sharp videos and provide correct responses

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🎤 Interview Experience
The interview process for Amazon typically involves an online assessment, technical interview, and HR round. The online assessment tests your technical skills and knowledge, while the technical interview assesses your problem-solving skills and experience. The HR round evaluates your fit with the company culture and values.
🏢 Work Culture
Amazon is known for its customer-centric approach, innovative products, and commitment to sustainability. The company has a strong focus on innovation, with a significant investment in research and development. Amazon provides a dynamic and innovative work environment, with opportunities for growth and development.

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✅ Eligibility Criteria
Basic Qualifications: - Bachelor's degree Preferred Qualifications: - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
🏆 Selection Process
Round 1: Online Assessment → Round 2: Technical Interview → Round 3: HR (based on company knowledge)
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📋 About the Role
Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. The company was founded in 1994 by Jeff Bezos and is headquartered in Seattle, Washington. Amazon is known for its customer-centric approach, innovative products, and commitment to sustainability. 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. Amazon has a strong focus on innovation, with a significant investment in research and development. The company has developed several groundbreaking technologies, including Alexa, the virtual assistant, and Amazon Web Services (AWS), a cloud computing platform. The Data Auditing Operations team at Amazon enables automation at Amazon Robotics Fulfillment centers. The team serves Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation, which includes real-time & offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy. As an Associate in this role, you will be responsible for watching videos of stowing actions at fulfillment centers, understanding them thoroughly, and making best use of human judgment in combination with tools and resources to indicate the activity captured in the video. You will verify or mark the location of products through a tool while maintaining the highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. The role requires you to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity), and right/acceptable practices. You will be required to take breaks at pre-defined slots and ensure 6.8 to 7 hours' time per day is spent answering videos. Associates who are hired to work from home should maintain a dedicated workspace, including a table, chair, and sufficient lighting. Key responsibilities of this role include: - Watching videos of stowing actions at fulfillment centers and understanding them thoroughly - Making best use of human judgment in combination with tools and resources to indicate the activity captured in the video - Verifying or marking the location of products through a tool while maintaining the highest level of accuracy - Watching several hundred videos in a shift and providing responses by following goals on accuracy (quality), speed (productivity), and right/acceptable practices - Taking breaks at pre-defined slots and ensuring 6.8 to 7 hours' time per day is spent answering videos - Maintaining a dedicated workspace, including a table, chair, and sufficient lighting - Working in rotational shifts, including night shifts, and remote teams - Being a good team player and willing to switch ON laptop camera while on virtual meetings - Coming to the office for a few days when required - Willingness to work in a non-tech role for a contract duration of 6 months The role requires a high level of attention and focus on the screen, as well as the ability to identify details from blurry, less sharp videos and provide correct responses. You will be expected to demonstrate a willingness to work in a non-tech role for a contract duration of 6 months, ability to audit image/video/text-based jobs, and ability to identify details from blurry, less sharp videos and provide correct responses. The team provides human support to Amazon Fulfillment facilities with the goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20 seconds) are sent to the Operations Team for humans to audit them with information on products being stored at fulfillment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgment. The effectiveness of the automated process will be increased by using videos that Associates have audited. This process helps in maintaining stow quality at the fulfillment center, and the Associate will be further evaluated for performance improvements/coaching. The role offers a unique opportunity to work in a dynamic and innovative environment, with a focus on automation and data analytics. You will be part of a team that is working towards enabling hands-free active stowing through visual audits on videos/images. The role requires a high level of attention and focus on the screen, as well as the ability to identify details from blurry, less sharp videos and provide correct responses. If you are looking for a challenging and rewarding role that offers opportunities for growth and development, then this is the role for you. You will be working in a fast-paced environment, with a focus on delivering high-quality results and meeting productivity targets. The role requires a high level of attention and focus on the screen, as well as the ability to identify details from blurry, less sharp videos and provide correct responses. The role offers a competitive salary and benefits package, as well as opportunities for growth and development. You will be working in a dynamic and innovative environment, with a focus on automation and data analytics. The role requires a high level of attention and focus on the screen, as well as the ability to identify details from blurry, less sharp videos and provide correct responses. Overall, this role offers a unique opportunity to work in a dynamic and innovative environment, with a focus on automation and data analytics. You will be part of a team that is working towards enabling hands-free active stowing through visual audits on videos/images. The role requires a high level of attention and focus on the screen, as well as the ability to identify details from blurry, less sharp videos and provide correct responses.
Free Live Webinar
46 seats remaining
🎓 Land Your Dream Data Analyst Job — Free Webinar
By working professionals from KPMG & Optum with 5+ years of experience Sat, 08 Aug 2026  ·  02:00 PM IST
🗺️ Complete Roadmap & Resume GuidanceWhat to learn & in what order
🤝 Referral OpportunityDirect from MNC professionals*
🎯 Interview PrepReal strategies from insiders
🎤 Mock Interview*Selected participants only
🎓 Register Free Now — Limited Seats →
🎯

Don't miss this opportunity!

Apply before 31 Aug 2026 — only 25 days left

✅ Apply on Official Website →
📤 Share this Job

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📋 Quick Info
JOB ID
C152-J177
POSTED
1h ago
TYPE
Fulltime
BATCH
All Batches
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