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Athena LLC

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Internship Agriculture Data Science information

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How much do internship agriculture data science jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for internship agriculture data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Agriculture Data Science Intern, and why are they important?

To thrive as an Agriculture Data Science Intern, you need a solid grounding in statistics, data analysis, and agricultural science, typically supported by coursework or a degree in data science, agronomy, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with agricultural datasets or GIS systems are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout candidates apart. These skills and qualifications are crucial for interpreting complex agricultural data to drive informed decision-making and support innovation in the field.

What types of projects can I expect to work on during an Agriculture Data Science internship?

As an Agriculture Data Science intern, you will typically work on projects involving the analysis of large datasets related to crop yields, soil health, weather patterns, or precision agriculture technologies. Common tasks include cleaning and processing agricultural data, building predictive models, and visualizing findings to support decision-making for farm management or research teams. You may also collaborate closely with agronomists, software engineers, and other data scientists, gaining exposure to both field and technical aspects of the industry. This hands-on experience helps develop practical skills and can open doors to advanced roles in agri-tech or research organizations.

What is the difference between Internship Agriculture Data Science vs Agriculture Data Analyst?

AspectInternship Agriculture Data ScienceAgriculture Data Analyst
CredentialsEnrolled in or recent graduate of relevant degree (e.g., data science, agriculture, statistics)Bachelor's or higher in data analysis, agriculture, or related fields
Work EnvironmentInternship programs, often in research or farm tech companiesFull-time roles in agricultural firms, research institutions, or tech companies
Employer & Industry UsageUsed by companies seeking entry-level data skills in agricultureUsed by organizations analyzing agricultural data for decision-making

Internship Agriculture Data Science positions are entry-level, focusing on learning and supporting data projects in agriculture. Agriculture Data Analysts are more experienced, responsible for analyzing data to inform agricultural strategies. Both roles require similar educational backgrounds but differ in experience and responsibilities.

What does an Agriculture Data Science Intern do?

An Agriculture Data Science Intern assists with collecting, analyzing, and interpreting agricultural data to help improve farming practices and productivity. They may work with large datasets related to crop yields, soil health, weather patterns, or supply chain management using statistical and machine learning tools. Their role often involves supporting research projects, creating data visualizations, and collaborating with agronomists or engineers. Through this experience, interns gain hands-on skills in both agriculture and data science, preparing them for future roles in agri-tech or research.
More about Internship Agriculture Data Science jobs
What cities are hiring for Internship Agriculture Data Science jobs? Cities with the most Internship Agriculture Data Science job openings:
What are the most commonly searched types of Agriculture Data Science jobs? The most popular types of Agriculture Data Science jobs are:
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What job categories do people searching Internship Agriculture Data Science jobs look for? The top searched job categories for Internship Agriculture Data Science jobs are:
Internship Agriculture Data Science jobs near you
Infographic showing various Internship Agriculture Data Science job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Management Intern - AgTech & Geospatial Data

Solar Digital Agro LLC

Austin, TX • On-site

Other

Posted 4 days ago

Job description

Location: Austin, Texas

Work Arrangement: Primarily On-site

Employment Type: Paid Internship

Internship Duration: 3 Months

Compensation: USD 3,000 per month

Potential Full-Time Salary: USD 50,000–100,000 per year, depending on the position, qualifications, experience, and performance


About the Company:

Our work focuses on agricultural technology, agricultural data services, market research, geospatial analysis, and related technology applications.

We are building an international and interdisciplinary team to explore practical applications of agricultural sensors, drones, satellite remote sensing, geographic information systems, and data analytics in U.S. and international agricultural projects.


Position Overview:

This is a multidisciplinary internship combining agricultural technology research, geospatial data analysis, project coordination, and business operations.

It is not a purely software-development or data-analysis position. The internship is designed for candidates interested in developing practical experience in agricultural technology while building skills in project coordination, technical research, data organization, communication, and cross-functional collaboration.


Key Responsibilities:

  • Support the planning, tracking, coordination, and periodic review of agricultural technology projects.
  • Research agricultural sensors, Internet of Things devices, field-monitoring equipment, and agricultural data-collection solutions.
  • Assist with research on drone applications in farm mapping, crop monitoring, land assessment, and agricultural data collection.
  • Organize and analyze satellite imagery, remote-sensing data, and agricultural geospatial information.
  • Use or learn GIS, data-visualization, and basic data-processing tools.
  • Assist with analyses involving agricultural remote-sensing indicators, including NDVI, EVI, and NDMI.
  • Support communication and project coordination with universities, research institutions, technology vendors, agricultural companies, and other project partners.
  • Prepare project reports, research summaries, meeting notes, presentations, and supporting materials.
  • Track developments in agricultural technology, drones, satellite systems, remote sensing, and geospatial information.
  • Participate in occasional field visits to farms, agricultural facilities, or partner project sites when required.
  • Perform other reasonable project-related duties consistent with the internship’s agricultural technology and project-coordination focus.


Qualifications:

  • Current undergraduate or graduate student, or a recent graduate, in a relevant field.
  • Preferred areas of study include Agricultural Engineering, Agricultural Technology, GIS, Remote Sensing, Geography, Environmental Science, Data Science, Computer Science, Engineering, Engineering Management, or a related discipline.
  • Strong interest in agricultural technology, drones, satellite remote sensing, GIS, data analytics, or technology project management.
  • Strong learning ability, organizational skills, attention to detail, and project-execution mindset.
  • Ability to manage multiple assignments and communicate progress clearly.
  • Proficiency with Microsoft Office, Google Workspace, or similar productivity tools.
  • Experience with Python, SQL, ArcGIS, QGIS, Google Earth Engine, data analytics, or remote-sensing software is preferred but not required.
  • Strong English communication and professional writing skills.
  • Chinese-language ability is a plus but is not required.
  • Comfortable working in a collaborative, interdisciplinary, and entrepreneurial environment.
  • Must be legally authorized to intern or work in the United States.


Compensation and Full-Time Opportunity:

This is a paid, three-month internship with compensation of USD 3,000 per month.

Successful completion of the internship does not guarantee continued employment. However, high-performing interns may be considered for conversion to a full-time position based on:

  • Individual performance;
  • Business needs;
  • Availability of a suitable position;
  • Relevant skills and experience; and
  • Continued work authorization.

The anticipated base salary range for eligible full-time positions is USD 50,000–100,000 per year. The actual position, responsibilities, and compensation will depend on the candidate’s performance, qualifications, experience, and the company’s business needs at the time of conversion.


What you will Gain:

  • Hands-on exposure to agricultural sensors, drones, satellite remote sensing, GIS, and agricultural data projects.
  • Experience supporting practical agricultural technology and project-development activities.
  • Development in project coordination, technical research, data analysis, reporting, and cross-functional collaboration.
  • Opportunities to support communication with universities, research institutions, agricultural companies, technology vendors, and other partners.
  • Consideration for the company’s long-term talent-development program and future full-time opportunities based on performance and business needs.


How to Apply:

Please apply through the LinkedIn job posting or submit the following materials to:

hr@space-time-tunnel.com

Please use the email subject line:

Application – AgTech & Geospatial Data Project Intern

Application materials may include:

  • English resume;
  • Brief personal introduction;
  • Available start date;
  • Weekly availability; and
  • Relevant coursework, projects, portfolios, or experience involving agricultural technology, GIS, drones, satellite remote sensing, project coordination, or data analytics.


Join us in developing practical technology solutions that connect agriculture, geospatial data, and the future.


Apply