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Amazon Shopper Jobs (NOW HIRING)

This is an opportunity to join the high-performing team behind Amazon's generative AI-powered shopping assistant. Rufus makes it easy for customers to find and discover the best products to meet ...

Join Amazon's Shopping Legal team as Corporate Counsel, where you'll serve as the go-to legal partner for teams building advance AI models and search experiences. Key job responsibilities Support ...

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Amazon Shopper information

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$11

$18

$43

How much do amazon shopper jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for amazon shopper in the United States is $18.33, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Shopper, and why are they important?

To thrive as an Amazon Shopper, you need attention to detail, efficiency, and a basic understanding of inventory management, with a high school diploma or equivalent typically required. Familiarity with mobile devices, barcode scanners, and Amazon’s proprietary shopping apps is important for order fulfillment. Strong organizational skills, time management, and customer service orientation help shoppers excel and provide a positive experience. These skills ensure accurate, timely order processing and contribute to customer satisfaction and operational smoothness.

How to become a personal shopper for Amazon?

Amazon does not currently offer a dedicated personal shopper role; however, individuals interested in similar positions can pursue roles in customer service, order fulfillment, or virtual shopping assistance within Amazon or other retail companies. Building skills in customer communication, product knowledge, and familiarity with Amazon's platform can be beneficial for related job opportunities.

Can I work in Amazon from home?

Amazon Shopper roles can sometimes be performed remotely, especially for customer service or virtual positions, but most warehouse and fulfillment center jobs require on-site work. Availability of remote work depends on the specific role and location, and candidates should review job postings for remote options and requirements.

How much does Amazon Shopper Panel pay?

Amazon Shopper Panel pays participants typically between $10 and $20 per month for completing surveys and providing feedback. Payments are made via gift cards or direct deposit, and the program requires users to have an active Amazon account and meet certain eligibility criteria. Compensation varies based on participation and survey availability.

What does an Amazon shopper do?

An Amazon shopper is responsible for selecting, packing, and preparing customer orders for shipment. They often work in warehouses, using tools like barcode scanners and following safety protocols to ensure accurate and timely delivery. Attention to detail and physical stamina are important for this role.

What does a typical shift look like for an Amazon Shopper, and how is the work structured?

As an Amazon Shopper, your typical shift involves receiving customer orders via an app, locating and carefully selecting items from designated store shelves, and preparing them for pickup or delivery. The work is fast-paced and often requires attention to detail to ensure accuracy and quality. You’ll usually work independently but may collaborate with other Shoppers or store staff during busy periods. Shifts can vary in length and scheduling flexibility, making this role a good fit for those seeking part-time or adaptable hours.

What is the difference between Amazon Shopper vs Amazon Picker?

AspectAmazon ShopperAmazon Picker
CredentialsNo formal certifications requiredNo formal certifications required
Work EnvironmentOnline shopping, order review, and purchaseWarehouse, physical picking of items
Employer & Industry UsageRetail, e-commerce, Amazon platformWarehouse, logistics, Amazon fulfillment centers
Common Search/ComparisonCustomer service, online shopping rolesWarehouse, fulfillment, logistics roles

Amazon Shoppers primarily focus on reviewing and purchasing items online, often working remotely or in customer service roles. Amazon Pickers work in warehouses, physically selecting items for orders. While both roles support Amazon's e-commerce operations, Shoppers are more customer-facing, whereas Pickers are involved in warehouse logistics.

What are Amazon Shoppers?

Amazon Shoppers are employees who work in Amazon’s physical retail locations or fulfillment centers to help pick, pack, and prepare customer grocery orders for delivery or pickup. They typically select items from store shelves, ensure accuracy and quality, and package orders efficiently. The role is often part-time and can offer flexible scheduling. Amazon Shoppers play a key role in ensuring customers receive their orders quickly and accurately, especially for services like Amazon Fresh and Whole Foods Market.
More about Amazon Shopper jobs
What cities are hiring for Amazon Shopper jobs? Cities with the most Amazon Shopper job openings:
What are the most commonly searched types of Amazon Shopper jobs? The most popular types of Amazon Shopper jobs are:
What states have the most Amazon Shopper jobs? States with the most job openings for Amazon Shopper jobs include:
Infographic showing various Amazon Shopper job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $38,119 per year, or $18.3 per hour.
Senior Applied Scientist, Amazon Shopping Personalization

Senior Applied Scientist, Amazon Shopping Personalization

Amazon

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,870 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these questions and you will be a great fit for our team at Amazon.
As an Senior Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for Personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.
Key job responsibilities
- Using Amazon's large-scale computing resources, you will ask research questions about customer behavior, build state-of-the-art models to optimize the shopping experience, and run these models directly on the retail website.
- Develop AI solutions for Recommendation systems using Deep learning, LLMs, Reinforcement Learning, distillation, and Optimization methods;
- Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;
- Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;
- Effectively communicate technical and non-technical ideas with teammates and stakeholders;
- Stay up-to-date with advancements and the latest modeling techniques in the field;
- Publish your research findings in top conferences and journals.
About the team
Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for ...", "Customers who bought this item also bought", and "Frequently bought together".
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 183,800.00 - 248,700.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US