Imagery Analysis Research Assistant Intern

American University; United States; On-site; USD 21,000 - 30,000; Part time

Job summary

American University is seeking multiple research assistants to contribute to a project studying the proliferation of solar photovoltaic technology in the Middle East. You will work with 30 cm resolution satellite imagery from 2021 and 2025 over Lebanon and Jordan, focusing on training and validating deep learning models to locate and measure solar panels.

Responsibilities include annotating panel locations on imagery, assisting model training/validation, and teaching online annotation workflows.

Qualifications

• Must be enrolled as a student at American University.
• Part-time commitment: 5–8 hours per week.
• Experience with annotating satellite imagery or working with deep learning workflows is desirable.

Responsibilities

• Annotate locations and sizes of solar panel arrays in Jordan and Lebanon on high-resolution satellite imagery.
• Assist in training and validation of deep learning models for solar panel location.
• Train others in online annotation workflows.
• Other project tasks as needed.

Skills

Deep learning

Computer vision

Satellite imagery analysis

Imagery annotation

Job description

Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community.

This position is available only to enrolled American University students.

Most student positions at American University are eligible to use Federal Work Study (FWS) awards, with a few exceptions. FWS funds cannot be applied to janitorial, construction, partisan or sectarian positions. For information or questions regarding FWS funds, please contact American University's Office of Financial Aid.

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Department: College of Arts & Sciences

Time Type: Part time

FLSA Status: Non-Exempt

Job Description:

Summary:

Prof Alonzo seeks multiple research assistants to work on a project trying to understand the proliferation of solar pv technology in the Middle East. This project makes use of 30 cm resolution satellite imagery from 2021 and 2025 over Lebanon and Jordan. The main job is to help train and validate deep learning, computer vision models tasked with locating and measuring solar panels.

Essential Functions:

• Annotate the locations and sizes of solar panel arrays in Jordan and Lebanon on high-resolution satellite imagery.
• Assist in training and validation of deep learning models for solar panel location.
• Train others in online annotation workflows.
• Other tasks on this project as requested.

Position Type/Expected Hours of Work:

• Part-time.
• 5 - 8 hours per week.

Salary Range:

• $18.40 per hour.

Additional Eligibility Qualifications:

• Start and end date: October 10, 2026 – May 15, 2027.

Other Details

• This position is available only to enrolled American University students.
• Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
• American University is an E-Verify employer.
• Visit https://www.american.edu/hr/ for additional information about American University employment and benefits.

Current American University Employees

American University current employees (including those employed in student positions) must apply through their employee Workday account. If you are a current employee at American University, please log into Workday and select the Find Jobs report which will take you to our internal career listings.

Contact Us

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