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Part Time Amazon Research Jobs (NOW HIRING)

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... testing R&D tools ahead of full rollouts. What is my potential for career growth? * Pioneer ...

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... testing R&D tools ahead of full rollouts. What is my potential for career growth? * Pioneer ...

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... testing R&D tools ahead of full rollouts. What is my potential for career growth? * Pioneer ...

... 4. Amazon Cloud (AWS) 5. Agile PM (JIRA) 6. SaaS Product Support 7. Interactive Voice Agents 8. ... Support Product Specialists on R&D research and feature requirement gathering * Conduct market ...

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Part Time Amazon Research information

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$37K

$106K

$142.5K

How much do part time amazon research jobs pay per year?

As of Aug 21, 2026, the average yearly pay for part time amazon research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is a part time Amazon research?

A Part Time Amazon Research job typically involves researching products, market trends, competitor listings, and customer reviews on Amazon. Individuals in this role may analyze sales data, help identify profitable products to sell, and provide insights to improve product listings or marketing strategies. This position is often remote or flexible in hours, making it suitable for students or those seeking supplemental income. Strong analytical skills and familiarity with Amazon’s platform are usually required.

What are the typical responsibilities of a part time Amazon researcher?

In a Part Time Amazon Research role, you can expect to spend your time analyzing product trends, researching competitors, and gathering data on pricing and sales performance. Your daily tasks may include monitoring best-selling products, evaluating customer reviews, and compiling reports to support business decisions. Collaboration with other team members, such as marketing and sales, is common to ensure research insights are effectively utilized. This position often requires attention to detail, proficiency with data tools, and the ability to manage time efficiently to meet deadlines while working independently.

What are the key skills and qualifications needed to thrive as a part time Amazon researcher?

To thrive as a Part Time Amazon Researcher, you need strong analytical skills, attention to detail, and familiarity with e-commerce platforms, ideally supported by experience in online product research or retail analysis. Proficiency with tools like Jungle Scout, Helium 10, and Amazon Seller Central is commonly expected. Excellent organizational skills, effective communication, and adaptability help you manage shifting priorities and clearly present research findings. These skills are crucial for identifying profitable products, understanding market trends, and supporting business growth in the competitive Amazon marketplace.

Does Part Time Amazon Research have research jobs?

Part Time Amazon Research roles typically involve conducting research related to Amazon's business operations, products, or customer insights. These positions may require skills in data analysis, market research, or technical tools, and are often available on a flexible or part-time basis. Job seekers should review Amazon's career listings for specific research-related opportunities and requirements.
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The most popular types of Amazon Research jobs are:

What job categories do people searching Part Time Amazon Research jobs look for?

The top searched job categories for Part Time Amazon Research jobs are:

Infographic showing various Part Time Amazon Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Electrical Engineer, Robotics Hardware- Part-time Internship

FieldAI

Irvine, CA

$27 - $30/hr

Full-time, Part-time, Internship

Posted 8 days ago


Job description

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We're a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. 

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for an Electrical Engineer- Part-time Intern to assist in the design and development of electrical systems and components. In this role, you will sit at the interface of mechanical, electrical, embedded software, and autonomy systems. Assist in the design and development of electrical systems and components. Conduct testing and analysis of electrical circuits and systems. Collaborate with senior engineers on project tasks and problem-solving.

$27 - $30 an hour

What You Have

  • Education: Current B.S., M.S., or Ph.D. student in Robotics, Electrical Engineering, Mechanical Engineering or a related field.

  • Robotic Platforms: Familiarity with diverse robotic platforms, their capabilities, limitations, and trade-offs, and how to adapt payloads accordingly.

  • Robotics Firmware & APIs: Hands-on experience applying robot SDKs, APIs, and native libraries to implement and validate advanced maneuvers or joint-level control.

  • ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing.

  • Testing & Validation: Comfort designing and executing repeatable test protocols for mobility, stability, runtime, and terrain handling; experience verifying manufacturer specifications before and after payload integration.

  • Field Systems: Experience designing or supporting complementary systems such as docking solutions, charging stations, or protective enclosures.

The Extras That Set You Apart

  • Scaling:  Experience taking systems from prototype through design iteration.

  • Field Environments: Experience developing systems for harsh field environments.

  • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.

  • Systems Level Robotics: Fluency across mechanical, electrical, and software systems.

  • Reliability Engineering: Experience designing to meet IP ratings, MIL-STD, or equivalent ruggedness standards.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 
 
Field AI Onsite Work Philosophy
 
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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