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Remote Personal Shopper Jobs (NOW HIRING)

Senior Product Manager, Ads Quality

$129K - $170K/yr

... Personal Shoppers. Instacart has become a lifeline for millions of people, and we're building the ... This role is remote and the base pay range for a successful candidate is dependent on their ...

... Personal Shoppers. Instacart has become a lifeline for millions of people, and we're building the ... This role is remote and the base pay range for a successful candidate is dependent on their ...

... Personal Shoppers. Instacart has become a lifeline for millions of people, and we're building the ... Lead the technical direction for Instacart's Bazel build system, including remote caching, remote ...

... Personal Shoppers. Instacart has become a lifeline for millions of people, and we're building the ... This role is remote and the base pay range for a successful candidate is dependent on their ...

Social Content Producer

$104K - $109K/yr

... Personal Shoppers. Instacart has become a lifeline for millions of people, and we're building the ... This role is remote and the base pay range for a successful candidate is dependent on their ...

Showing results 21-40

Remote Personal Shopper information

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$8

$16

$23

How much do remote personal shopper jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote personal shopper in the United States is $16.20, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $19.47 per hour, depending on experience, location, and employer.

What is a remote personal shopper?

A Remote Personal Shopper assists clients in selecting and purchasing items, such as clothing, accessories, or gifts, based on their preferences and needs. They communicate with customers via phone, email, or chat, providing personalized recommendations and shopping assistance. This role often requires strong knowledge of fashion trends, customer service skills, and the ability to work independently. Many Remote Personal Shoppers work for retailers, boutiques, or personal shopping services, helping clients make informed purchase decisions.

What are the key skills and qualifications needed to thrive as a remote personal shopper?

To thrive as a Remote Personal Shopper, you need a keen eye for fashion or product trends, strong research skills, and customer service experience. Familiarity with online shopping platforms, inventory databases, and communication tools like live chat and email are essential for managing orders and client interactions. Exceptional listening, personalization, and problem-solving abilities help build lasting client relationships and deliver tailored recommendations. These skills ensure that clients receive a seamless, enjoyable shopping experience, driving customer satisfaction and repeat business.

What are the typical daily responsibilities of a remote personal shopper?

As a Remote Personal Shopper, your daily tasks typically include communicating with clients to understand their preferences, searching for and recommending personalized products, placing and tracking orders, and resolving any issues that arise during the shopping process. You will also stay updated on the latest trends and promotions to offer fresh and appealing options. In many roles, you work closely with other team members like customer service representatives and logistics coordinators to ensure efficient order fulfillment. This role is highly client-focused and requires a proactive approach to meeting customer needs remotely.

Which remote personal shopper pays the most?

Remote personal shoppers can earn varying wages depending on the company, experience, and client base. Generally, those working for high-end luxury brands or through specialized platforms tend to earn higher commissions or hourly rates, with top earners making significantly more than entry-level shoppers. Compensation can range from minimum wage to over $25 per hour or more for experienced or high-volume shoppers.

How much do remote personal shoppers get paid?

Remote personal shoppers typically earn between $10 and $25 per hour, depending on experience, location, and the company they work for. Some may also receive commissions or bonuses based on sales or customer satisfaction. Pay rates can vary widely, so researching specific employers is recommended.
More about Remote Personal Shopper jobs
What cities are hiring for Remote Personal Shopper jobs? Cities with the most Remote Personal Shopper job openings:
What are the most commonly searched types of Personal Shopper jobs? The most popular types of Personal Shopper jobs are:
What states have the most Remote Personal Shopper jobs? States with the most job openings for Remote Personal Shopper jobs include:
Infographic showing various Remote Personal Shopper job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 100% Remote job distribution, with an average salary of $33,693 per year, or $16.2 per hour.

Senior Machine Learning Engineer, Operations Research

Instacart

Remote

$207K - $218K/yr

Full-time

Re-posted yesterday


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies


Job description

We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we're building the team to help push our shopping cart forward. If you're ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There's no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work-whether it's from home, an office, or your favorite coffee shop-while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview:
We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this role, you will work at the intersection of combinatorial optimization, mathematical programming, and AI to solve high-impact problems in the fulfillment space - including order batching, shopper routing, service availability prediction, and real-time assignment. You'll partner closely with engineering, product, and data science to ship models and algorithms that directly influence Instacart's profitability and shopper experience at scale.
The Logistics & ML group is responsible for the intelligence and execution behind Instacart's fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.
About the Job:
  • Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
  • Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
  • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

About You:
Minimum Qualifications:
  • 3+ years of industry experience using machine learning to solve real-world problems with large datasets
  • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Have strong analytical skills and problem-solving ability
  • Are a strong communicator who can collaborate with diverse stakeholders across all levels
  • Graduate degree (masters or PhD) in Operations Research or Industrial Engineering or closely related field

Preferred Qualifications:
  • Knowledge of deep learning frameworks and methodologies
  • Experience in applying machine learning and optimization techniques to solve marketplace problems

#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ
$207,000-$218,500 USD
WA
$198,000-$209,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$190,000-$205,000 USD
All other states
$173,000-$182,500 USD

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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012