Data Associate, GROCERY ECO

Data associate plays a crucial role in machine learning and AI development by labeling, categorizing, and enriching raw data to make it useful for training AI models. Scope of this role also includes innovation, deep dive into unusual scenarios. The ideal candidate has a strong track record of research analysis, influence through collaboration, driving measurable business results, and attention to detail. This position is part of the world-wide grocery stores and supports a global customer base.

Key job responsibilities
• Perform data collection tasks related to Amazon
devices, applications, or services.
• Labeling and tagging data (text, images, audio, or
video) on daily basis by adhering to Standard
Operating Procedures (SOPs) and guidelines.
• Identifying and classifying specific features or
patterns in datasets
• Participate in process improvement to increase the
quality, efficiency, and accuracy of the teams’
processes.
• Partner with your team manager when your work is
delayed or blocked due to technical issues.
• Report issues with tools and software to the
development team when necessary.
• Maintain strict confidentiality and follow all
applicable Amazon policies for securing confidential
information.
• Leverage technology and process innovation to
bring continuous improvement to the operations.
• Analyze data to identify the root of a problem and
solve it.

About the team
Grocery ECO is a new kind of shopping experience for customers with smart shopping carts - no lines and no checkout. Simply use the ECO cart to enter the store, take what you want from our selection of fresh, delicious meals, grocery essentials, and go through dedicated lane.

ECO carts enable scanning of products as they are taken from the shelves and you can keep track of live receipt via screen on cart. When you’re done shopping, you just leave the store. Shortly after, we’ll charge your Amazon account.

Our technology uses computer vision, sensor fusion, and advanced machine learning.

Basic Qualifications

- Bachelor's degree
- Speak, write, and read fluently in English
- Demonstrated ability to be successful in a highly fluid, fast-paced and ambiguous environment
- Strong attention to detail and ability to follow precise annotation instructions
- Flexible to work across all the shifts.
- Work from office, 5 days a week.

Preferred Qualifications

- Knowledge of Microsoft Office products and applications
- Work from office, 5 days a week.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.