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Internship Ophthalmic Imaging information

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$12

$22

$34

How much do internship ophthalmic imaging jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for internship ophthalmic imaging in the United States is $22.56, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Internship Ophthalmic Imaging vs Ophthalmic Technician?

AspectInternship Ophthalmic ImagingOphthalmic Technician
CredentialsTypically no formal certification, internship-basedCertification often required (e.g., Certified Ophthalmic Assistant)
Work EnvironmentTraining setting, ophthalmology clinics, or hospitalsClinical settings, eye clinics, hospitals
Job ResponsibilitiesAssisting with imaging procedures, learning imaging techniquesPerforming diagnostic tests, assisting ophthalmologists

Internship Ophthalmic Imaging focuses on training and assisting with eye imaging procedures, often as a temporary or educational role. Ophthalmic Technicians have more responsibilities, including performing diagnostic tests and supporting patient care, usually requiring certification. Both roles operate in clinical environments but differ in experience level and job scope.

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Internship Ophthalmic Imaging jobs near you
Infographic showing various Internship Ophthalmic Imaging job openings in the United States as of August 2026, with employment types broken down into 5% As Needed, 70% Full Time, 13% Part Time, and 12% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $46,920 per year, or $22.6 per hour.

Junior Applied Research Engineer

Horizontal Talent

Burlington, MA

Full-time

Posted 2 days ago

New

Job description

Looking for a hands-on opportunity to support cutting-edge applied research in ophthalmic imaging and medical device development? This temporary Junior Applied Research Engineer role offers the chance to work with real-world data, collaborate across technical teams, and contribute to the advancement of image processing and computer vision workflows.

Responsibilities
  • Use imaging hardware to collect data following established procedures, protocols, and study plans
  • Create, review, and maintain high-quality ground-truth datasets that support computer vision development, testing, and validation
  • Process ophthalmic image data using existing Python and/or C++ scripts, including batch processing, visualization, and result review
  • Investigate and troubleshoot data collection issues, script errors, and image quality concerns before escalating as needed
  • Review collected data to identify failure modes, quality gaps, and opportunities to improve collection or annotation workflows
  • Document experiments, maintain dataset traceability, and prepare concise updates on progress, findings, risks, and next steps
  • Support unit testing and performance evaluation of image processing and algorithmic pipelines using collected datasets
  • Collaborate with applied research, software, hardware, clinical, and other cross-functional partners as needed
Skills
  • 0-3 years of relevant experience through industry, internship, co-op, or research in imaging, computer vision, robotics, biomedical engineering, electrical engineering, computer science, or a related field
  • Familiarity with image processing or computer vision concepts such as segmentation, feature extraction, registration, detection/tracking, calibration, or quality assessment
  • Ability to run, debug, and make limited edits to existing Python and/or C++ scripts
  • Strong comfort working independently by reviewing documentation, testing ideas, and completing background research before asking for help
  • Hands-on experience collecting, organizing, and analyzing experimental or imaging data
  • Comfort working with hardware, lab setups, prototype systems, and imperfect real-world data
  • Bachelor’s or master’s degree in computer science, electrical engineering, biomedical engineering, computer engineering, robotics, mechanical engineering, or a related scientific or engineering discipline
Preferred Skills
  • Experience generating or reviewing ground-truth labels, annotations, or validation datasets
  • Proficiency in Python, with experience using OpenCV, NumPy, Pandas, SciPy, or similar libraries
  • Experience with Git, Linux/command-line tools, MATLAB, or C++
  • Exposure to medical imaging, ophthalmic imaging, or regulated medical device development

Horizontal is committed to fostering a workplace where diversity, equity, and inclusion are valued and respected. We encourage candidates from all backgrounds to apply and to bring their unique perspectives, experiences, and ideas to the team.
 

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

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