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Freelance Amazon Product Research Jobs (NOW HIRING)

Come join Amazon Key as a Sales Operations professional supporting our innovative delivery ... Drive operational management activities, including technical product research, hands-on system ...

Manage and maintain Amazon product listings, ensuring accuracy in titles, descriptions, images, and ... Conduct keyword research and SEO optimizations to enhance organic discoverability. * Regularly ...

Come join Amazon Key as a Sales Operations professional supporting our innovative delivery ... Drive operational management activities, including technical product research, hands-on system ...

Manage and maintain Amazon product listings, ensuring accuracy in titles, descriptions, images, and ... Conduct keyword research and SEO optimizations to enhance organic discoverability. * Regularly ...

Manage and maintain Amazon product listings, ensuring accuracy in titles, descriptions, images, and ... Conduct keyword research and SEO optimizations to enhance organic discoverability. * Regularly ...

Showing results 21-40

Freelance Amazon Product Research information

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$14

$47

$132

How much do freelance amazon product research jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for freelance amazon product research in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is freelance Amazon product research?

Freelance Amazon product research involves independently identifying profitable products for sale on Amazon, often for clients such as Amazon sellers or agencies. This role includes analyzing market trends, evaluating competition, assessing demand, and using tools like Jungle Scout or Helium 10 to find opportunities. Freelancers in this field provide recommendations on which products to source based on data-driven analysis, helping businesses make informed decisions. This work is typically done remotely and can be project-based or ongoing.

What skills and qualifications are needed to thrive as a freelance Amazon product researcher?

To thrive as a Freelance Amazon Product Researcher, you need strong analytical skills, market research experience, and a solid understanding of Amazon’s marketplace dynamics. Familiarity with tools like Jungle Scout, Helium 10, and Keepa, as well as proficiency in Excel or Google Sheets, is typically required. Attention to detail, critical thinking, and effective communication are standout soft skills in this role. These abilities ensure accurate product evaluations, actionable insights, and successful client outcomes in a competitive e-commerce environment.

What are common challenges faced by freelance Amazon product researchers, and how can they overcome them?

Freelance Amazon product researchers often encounter challenges such as staying updated with changing Amazon algorithms, identifying truly profitable niches amidst high competition, and accessing reliable data tools. To overcome these, it's important to regularly invest time in learning about platform updates, utilize reputable research software, and develop strong analytical skills to interpret market trends. Networking with other researchers and sellers can also provide valuable insights and support.

What is the difference between Freelance Amazon Product Research vs Freelance Amazon Listing Optimization?

AspectFreelance Amazon Product ResearchFreelance Amazon Listing Optimization
CredentialsKnowledge of market trends, product sourcing, data analysisUnderstanding of SEO, copywriting, keyword research
Work EnvironmentRemote, project-based, research-focusedRemote, content creation, optimization tasks
Industry UsageUsed by Amazon sellers to identify profitable productsUsed by sellers to improve product listings for better visibility
Search & Comparison IntentFinding product ideas and market opportunitiesEnhancing existing listings for higher sales

While both roles support Amazon sellers, Freelance Amazon Product Research focuses on identifying profitable products and market trends, whereas Freelance Amazon Listing Optimization aims to improve product listings for better search rankings and sales. Both require specific skills but serve different stages of the selling process.

More about Freelance Amazon Product Research jobs

What cities are hiring for Freelance Amazon Product Research jobs?

Cities with the most Freelance Amazon Product Research job openings:

What are the most commonly searched types of Amazon Product Research jobs?

The most popular types of Amazon Product Research jobs are:

What states have the most Freelance Amazon Product Research jobs?

States with the most job openings for Freelance Amazon Product Research jobs include:

Infographic showing various Freelance Amazon Product Research job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Applied Science II, Product Knowledge GenAI

Amazon

Seattle, WA • On-site

Full-time

Posted 26 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,151 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

The Catalog Services Product Knowledge team is seeking an Applied Scientist for the Catalog Services organization. Our vision is simple: build AI systems that are capable of a deep product understanding, so we can organize and scale the catalog metadata (schema) for Amazon e-commerce catalog worldwide. This is a complex problem because the magnitude of products entities (attributes, values, constraints) to be modeled to cover all the Amazon products worldwide.

You will work on initiatives (models, artifacts) aim to solve the problem of producing Catalog schema with less reliance on humans and deliver them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML and GenAI techniques that will scale our catalog artifacts with a high precision across countries and languages.
The scientist will own investments in machine learning, natural language processing, GenAI, to solve real world problems at scale.

The team's output affects the velocity at which we build product schema and support the largest e-commerce catalog and impact million of customers. The team builds solutions ranging from automatic generation of product metadata, classification of entities, validation of concepts against customer traffic, creation of agents solving complex tasks mimicking human decisions at high precision, etc; all these developments drive true understanding of products at scale.
The ideal candidate has deep expertise in one or several of the following fields: Generative AI, Agents, LLMs, Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing.

S/he has a strong publication record at relevant academic venues and proven experience in launching products/features in the industry.
Key job responsibilities
- Formulate open research problems at the intersection of GenAI, multimodal reasoning, and large-scale information retrieval-defining the scientific questions that transform ambiguous, real-world catalog challenges into models applied to production with high-impact
- Push the boundaries of models and agentic architectures by designing novel approaches to catalog understanding, schema inference, where the problem complexity (billions of products) demands methods that don't yet exist
- Make frontier models reliable-advancing uncertainty calibration, confidence estimation, and interpretability methods so that frontier-scale GenAI systems can be trusted for autonomous catalog decisions
- Own the full research lifecycle from problem formulation through production deployment, designing rigorous experiments, iterating on ideas rapidly, and seeing your research directly improve data and catalog operations
- Shape the team's research vision by defining technical roadmaps that balance foundational scientific inquiry with measurable product impact
- Represent the team in the broader science community, publishing findings, delivering tech talks, and staying at the forefront of GenAI, and agentic system research
About the team
The team's mission is to infer knowledge, understand, and derive product schema for all Amazon products entering the Catalog. The work is critical to power drive policies on how products will be merchandised, guide Selling Partners, inform models how to infer attributes. All this information drives the navigational Taxonomy, Search and Detail Page experiences, impacting million of customers

The scientist collaborates closely with teams across the organization and outside the Catalog (Search, Personalization, etc) that rely on this team's developments.


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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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US