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Remote Amazon Research Scientist Jobs (NOW HIRING)

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Mercor

Research And Development Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM ...

Workato

Senior AI Research Scientist

San Francisco, CA · On-site +1

$116K - $147K/yr

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional AI Research Scientist to join our growing team. In this role, you will be responsible to:

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Remote Amazon Research Scientist information

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$50.5K

$130.1K

$174K

How much do remote amazon research scientist jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote amazon research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a Remote Amazon Research Scientist do?

A Remote Amazon Research Scientist conducts cutting-edge research to solve complex problems relevant to Amazon’s business, such as improving machine learning algorithms, natural language processing, or supply chain optimization. Working remotely, they design experiments, analyze large datasets, and collaborate with engineering teams to implement their findings. The role often involves publishing research, staying current with scientific advancements, and translating theoretical work into practical solutions that drive Amazon’s products and services.

What are the key skills and qualifications needed to thrive as a Remote Amazon Research Scientist, and why are they important?

To thrive as a Remote Amazon Research Scientist, you need a strong background in computer science, statistics, or a related field, often with a PhD or equivalent experience in machine learning, data science, or artificial intelligence. Mastery of programming languages such as Python or Java, familiarity with AWS cloud services, and experience with data analysis tools and machine learning frameworks are typically required. Exceptional problem-solving skills, effective remote communication, and a collaborative mindset help professionals excel in distributed teams. These skills are crucial for driving innovation, developing scalable solutions, and ensuring successful research outcomes in Amazon's fast-paced, data-driven environment.

What are some common challenges faced by Remote Amazon Research Scientists, and how can they be addressed?

One common challenge for Remote Amazon Research Scientists is maintaining effective collaboration with cross-functional teams across different time zones. To address this, it’s essential to leverage communication tools like Slack and Amazon Chime, schedule regular virtual check-ins, and document research progress thoroughly. Another challenge is staying updated on evolving project priorities and technologies; participating in virtual workshops, engaging in Amazon’s internal knowledge-sharing forums, and setting aside time for personal learning can help overcome this. Building strong relationships with colleagues and proactively seeking feedback also contribute to success in a remote research environment.
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Remote Amazon Research Scientist jobs near you
Infographic showing various Remote Amazon Research Scientist job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Texas Agricultural Experiment Station

Corpus Christi, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Job Title

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Agency

Texas A&M Agrilife Research

Department

Corpus Christi

Proposed Minimum Salary

Commensurate

Job Location

Corpus Christi, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Position Information

Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Geospatial Data Analytics to work with the Digital Agriculture team. This position complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop near to develop multi-modal data pipelines for decision support systems.

One of the goals of Digital Agriculture Research Lab at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.

Responsibilities:

- Lead the remote sensing and geospatial analytics component of the Texas Conservation & Sustainability Initiative (TCSI)-monitoring, measuring, reporting and verification (MMRV) component of the project and is expected to use their expertise on remote sensing and AI to develop MMRV tools for assessing conservation outcomes using the huge amount of data generated from this project.

- The candidate will work on the synthesis, integration, and analysis of large datasets obtained from remote sensing platforms such as Satellite imagery, online databases, and ground sensors and develop pipelines for multi-source data integration systems in agriculture.

- Publish peer-reviewed papers and support grant writing.

- Support projects on the development of digital twin systems, models, and user interfaces for visualizations, mapping, predictions, and prescriptions.

- Publish peer-reviewed papers and support grant writing.

- work with scientists from crop physiology, agronomy, extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in team and independently as needed.

- Mentor graduate students learning to conduct geospatial science/engineering, remote sensing.

- Perform other job-related duties as assigned.

Required Qualifications:

- Ph.D. in Remote Sensing, Geospatial Science, Computer Engineering, Data Science or a closely related discipline.

- Relevant professional experience.

- Experience in processing, analyzing, and modeling remote sensing data, particularly satellite imagery (optical and radar/SAR).

- Proficiency in artificial intelligence, machine learning, and geospatial data analytics.

- Experience with cloud computing platforms, geospatial databases, and large-scale data processing workflows is desirable.

- Strong written and oral communication skills, including a demonstrated ability to publish in highquality peerreviewed journals.

- Ability to work collaboratively in interdisciplinary research environments and contribute to team-based projects.

What You Need to Know

Salary: Compensation for this position is commensurate based on the selected candidate's qualifications.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month
  • Automatic enrollment in theTeacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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