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Remote Data Processing Jobs (NOW HIRING)

Adecco

Data Control Analyst

Morristown, NJ · On-site +1

$27 - $32/hr

Adecco is assisting a local client recruiting for a remote Data Control Analyst . This is an ... Process customer account changes including additions, deletions, transfers, and updates throughout ...

Jeff Brown Bail Bonds

Data Entry Representative

Dayton, OH · Remote

$15 - $19.25/hr

We are seeking a meticulous and organized Remote Data Entry Representative to join our team. This ... processes. Key Responsibilities: * Enter and update data accurately into company databases and ...

AECOM

Geophysical Data Processor

Denver, CO · On-site +1

Perform geophysical data processing and analysis for traditional digital geophysical mapping surveys and AGC mapping surveys * Serve as a mentor and provide technical guidance and expertise to ...

Navtech, Inc.

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join ... Process, parse, and transform data using JSON and other formats. Integrate data from various ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Ensure data processing and ingestion workflows are monitored and meet performance SLAs. Data ... Flexible work environment and remote work options. Join us and be part of a team building ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Ensure data processing and ingestion workflows are monitored and meet performance SLAs. Data ... Flexible work environment and remote work options. Join us and be part of a team building ...

Changeis

Data Engineer

$117K - $140K/yr

... processing concepts * Strong problem-solving skills and ability to work through complex data issues * Ability to work independently in a remote, contract-based environment Preferred Skills

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How much do remote data processing jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for remote data processing in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
More about Remote Data Processing jobs
What cities are hiring for Remote Data Processing jobs? Cities with the most Remote Data Processing job openings:
What are the most commonly searched types of Data Processing jobs? The most popular types of Data Processing jobs are:
What states have the most Remote Data Processing jobs? States with the most job openings for Remote Data Processing jobs include:
What job categories do people searching Remote Data Processing jobs look for? The top searched job categories for Remote Data Processing jobs are:
Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, 29% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Texas A&M AgriLife

Corpus Christi, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

192nd of 537 rated colleges and universities

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 high-quality peer-reviewed 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 to work for 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 leave and at least eight hours of paid vacation each month
  • Automatic enrollment in the Teacher 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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