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Internship Image Segmentation Jobs (NOW HIRING)

... and interns. The Architect III is responsible for interpreting, organizing, executing and ... Marketing * Assist market segment leaders and the marketing department in the preparation of design ...

... and interns. The Architect III is responsible for interpreting, organizing, executing and ... Marketing * Assist market segment leaders and the marketing department in the preparation of design ...

Help manage email list segmentation, maintain list hygiene, and support email marketing efforts ... DESIRED QUALIFICATIONS * 1-3 years of experience in a marketing or graphic design role, internship ...

Research Intern

$20 - $30/hr

By the end of the internship, the goal will be to submit a scientific abstract at a conference. Key ... image-based classification, segmentation, and natural language processing of clinical reports

... image classification, object detection, and segmentation. * Knowledge of observability and ... internships, or realworld projects involving applied machine learning. #LI-WA1 #LI-HYBRID

There will be a total of 8 weeks unpaid classroom instruction and 4-week paid internship. The ... Project a positive company image by interacting with fellow employees, customers, and management in ...

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Internship Image Segmentation information

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$8

$15

$21

How much do internship image segmentation jobs pay per hour?

As of Jun 27, 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 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 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 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.

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.
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 June 2026, with employment types broken down into 8% Internship, 59% Full Time, and 33% Part Time. Highlights an 75% In-person, 8% Hybrid, and 17% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Research Scientist/Engineer - Photoshop

Research Scientist/Engineer - Photoshop

Adobe, Inc.

Seattle, WA • On-site

Full-time

Posted 11 days ago


Job description

Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences. We're passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We're on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The Opportunity
Photoshop ART is seeking a Research Scientist to join our inpainting R&D team focused on making significant progress in image generation/restoration, low level vision, image editing with an eventual posture toward productization. Individuals in this role are expected to be expert in identified research areas such as artificial intelligence, machine learning, computer vision, and image processing. Strong preference will be given to candidates with experience in light transport, image formation, or physically based rendering, and in leveraging synthetic 3D scene data for training or analyzing learning-based models. This includes work on scene relighting, illumination transfer, harmonization, or appearance editing, as well as familiarity with generating or using simulated data to improve model controllability and realism with an eye toward productization. The ideal candidate will have a keen interest in producing new science to advance Adobe products.
What you'll Do
  • Work towards long-term results-oriented research goals, while identifying intermediate achievements.
  • Contribute to research that can be applied to Adobe product development.
  • Help integrating novel research work into Adobe's product.
  • Lead and collaborate on research projects across different Adobe divisions.

What you need to succeed
  • Ph.D. and solid publications in machine learning, AI, computer science, statistics, or scene semantic understanding.
  • Experience communicating research for public audiences of peers.
  • Experience working in teams.
  • Knowledge in a programming language.

Preferred Qualification
  • 1+ years of professional full-time experience preferred, but not required
  • 2+ year(s) of internship with primary emphasis on AI research in image generation, low level vision, image restoration, and segmentation
  • Experience in collaboration with a team with varied strengths.
  • 4+ First-author publications at peer-reviewed AI conferences (e.g. NIPS, CVPR, ECCV, ICML, ICLR, ICCV, and ACL).
  • Experience in developing and debugging in Python.

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In Washington, the pay range for this position is $146,300 - $211,850
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982