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Internship Image Segmentation Jobs (NOW HIRING)

... detection, semantic segmentation, and image understanding. Here's a closer look at your ... Demonstrated experience through internships, research, or substantial projects is acceptable.

... image synthesis, text report mining, and more! We are currently hiring both full-time and interns ... segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet, DenseNet)

THE INTERNSHIP At Hollywood Park, our primary objective for this internship program is to foster ... image resizing, spotchecking copy, spreadsheet organization etc. * Organize and manage excel ...

THE INTERNSHIP At Hollywood Park, our primary objective for this internship program is to foster ... image resizing, spotchecking copy, spreadsheet organization etc. * Organize and manage excel ...

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Internship Image Segmentation information

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How much do internship image segmentation jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for internship image segmentation in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Image Segmentation Intern, and why are they important?

To thrive as an Image Segmentation Intern, you need a solid background in computer vision, programming (especially Python), and familiarity with deep learning concepts, often supported by coursework in machine learning or related fields. Experience using tools and frameworks like TensorFlow, PyTorch, OpenCV, and annotation platforms is commonly expected. Strong analytical thinking, attention to detail, and effective problem-solving skills set candidates apart. These competencies are crucial for developing accurate segmentation models and contributing to high-quality research or product development in the field.

What types of projects can I expect to work on during an Internship in Image Segmentation?

As an intern specializing in image segmentation, you'll typically contribute to projects involving the annotation, processing, and analysis of visual data, such as medical images, satellite photos, or autonomous vehicle footage. You may assist in building and testing machine learning models, preparing datasets, and evaluating segmentation accuracy. Collaboration with data scientists, engineers, and sometimes domain experts is common, providing valuable exposure to real-world workflows and tools. This hands-on experience helps you develop both your technical and teamwork skills, setting a strong foundation for future roles in computer vision.

What is an Internship in Image Segmentation?

An Internship in Image Segmentation is a temporary, supervised position where interns gain hands-on experience working with algorithms and techniques to partition digital images into meaningful segments. Interns typically assist in developing, testing, and optimizing image segmentation models, often using machine learning or deep learning methods. This role is common in industries like healthcare, automotive, and robotics, where precise image analysis is essential. Interns also learn about preprocessing data, annotating images, and evaluating model performance. Such internships help students or recent graduates build practical skills and industry connections in computer vision.

What is the difference between Internship Image Segmentation vs Image Annotation?

AspectInternship Image SegmentationImage Annotation
Required SkillsBasic understanding of image processing, labeling toolsKnowledge of annotation tools, attention to detail
Work EnvironmentInternship setting, collaborative teamsVaries from freelance to corporate projects
Industry UsageUsed in training AI models for segmentation tasksUsed for various AI training data, including bounding boxes and labels

Internship Image Segmentation focuses on labeling specific regions within images to train segmentation models, often requiring basic image processing skills. Image Annotation is a broader term encompassing various labeling tasks like bounding boxes, labels, and segmentation. Both roles are essential in AI data preparation, but internships typically involve learning and assisting with segmentation projects, while image annotation can include a wider range of labeling activities.

More about Internship Image Segmentation jobs
What cities are hiring for Internship Image Segmentation jobs? Cities with the most Internship Image Segmentation job openings:
What are the most commonly searched types of Image Segmentation jobs? The most popular types of Image Segmentation jobs are:
What states have the most Internship Image Segmentation jobs? States with the most job openings for Internship Image Segmentation jobs include:
Infographic showing various Internship Image Segmentation job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 1% Part Time, and 4% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Engineer Degreed I

Full-time

Posted 13 days ago


Job description

Company Description

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website www.ustechsolutions.com.

We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well.

Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset.

Job Description

1. Develop a stain colorization QC tool for HSQm project including cell detection, region segmentation and quantitative measurement of colorization quality, and the user interface
2. Work in WBC diff area to research, test and evaluate different algorithms for abnormal patient cases
3. Develop a unified algorithm test bench for algorithm group and system integration/verification groups to use.
4. Work with Martin in research algorithms for optimize and test algorithm performance for PLT and MCV Algorithms development in statistics, and/or signal/image processing and/or image segmentation, and/or computer vision programing in matlab, and/or C/C++/C#, and/or Java.

Qualifications

Possesses educational qualifications and work experience as established by engineering schools, employers and licensing authorities for employment in the various disciplines of engineering, i.e. Mechanical, Electrical, Industrial, Manufacturing, Chemical, Quality, etc. Entry level to 3 yrs. experience needed.
Hiring Manager is looking for interns Master degree or Ph.D. (preferred) graduated students

Additional Information
Looking for candidates in Medical device industry background

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About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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