Amazon New Hiring Drive: Amazon Dev Centre India invites applications for the Data Associate – Grocery ECO job located in Hyderabad. This position supports the latest machine learning and development of artificial intelligence to enhance Amazon’s next-generation retail experience. The job includes labelling and enriching the information that drives the latest smart shopping technology,y that is that are designed to make the shopping experience quicker, more intelligent and more effortless.

About the Role
This Data Associate role forms a crucial component of the Amazon AI ecosystem that works directly with the technology that allows automated retail to be made possible. The job requires detailed processing of data, tagging and annotation tasks across audio, text, images and video inputs. Each action helps improve the algorithms running the Grocery ECO system, which is a groundbreaking purchasing experience made possible by AI and machine learning.
The Grocery ECO team focuses on creating a frictionless shopping experience, where shoppers can pick items, walk away and be charged instantly via their Amazon account. The smart cart system makes use of sensor fusion, computer vision, as well as deep-learning to recognise the products being purchased and handle transactions in real time. It is the Data Associate supports this system by ensuring that the data sources are accurate, reliable and properly classified.
Key Responsibilities
- Complete every day data gathering, labelling and annotation tasks following specific Standard Operating Procedures.
- Review, categorise and enhance raw data in a variety of formats, such as text, audio, images, as well as video.
- Find patterns, anomalies, or patterns within the dataset and use logical classification techniques.
- Participate in the improvement of data quality initiatives that aim to improve efficiency, accuracy, and the consistency of project results.
- Troubleshoot workflow issues with technical tools through collaboration with team supervisors and coordinate with engineers working on development when tools fail.
- Inform users of errors and provide prompt comments on software annotation or interfaces to systems.
- Be sure to protect your confidentiality and adhere to internal protocols to protect data.
- Review trends in the data to spot problems, which can lead to improvements in the long-term model.
- Contribute to the creation of more efficient automation tools by using information gleaned from the manual process of data.
- Involve yourself in process optimisation to speed up the labelling process and increase the output of the team.
About the Grocery ECO Team
Grocery ECO is a part of Amazon’s plan to rethink the shopping experience in stores using innovative technology. The system uses sensor and computer vision data to detect items once they are chosen. Customers can see an actual receipt on the display of a smart cart and leave the store without having to wait in line. The payment system linked to an account will automatically finish the transaction shortly after leaving the store, providing a seamless and modern shopping experience. Its Data Associate team in Hyderabad is a key part of improving the algorithm behind this intuitive, high-tech system.
Basic Qualifications
- Bachelor’s degree
- Fluency in spoken and written English.
- Experienced ability to lead and change in fast-paced, uncertain, and dynamic environments.
- A sharp eye as well as the capability to adhere to clear instructions for labelling accurately.
- Flexibility to work on rotating shifts of night and day shifts.
- The ability to work full-time from the office 5 days a week.
Preferred Qualifications
- An understanding of the tools for data annotation, labelling and QA workflows within AI and ML systems.
- The ability to use Microsoft Office Suite for report compilation and visualisation of data.
- Experience in data analysis or operational positions.
Application Details
Candidates interested in applying can do so via an official Amazon Careers Portal by searching for the Job ID 3112674, Data Associate Grocery ECO. Applications are evaluated daily, and those who are shortlisted receive additional instructions via email about the stages of assessment and interview. The submission of a current resume that highlights relevant technical experience, along with language proficiency and academic qualifications, is mandatory.
