1

Internship Image Segmentation Jobs (NOW HIRING)

... deep learning: image classification, object detection, segmentation, and tracking across CNNs ... Publications at top-tier venues, open-source contributions, research internships, or substantial ...

Sr. Research Data Scientist

San Diego, CA ยท On-site

$150K - $180K/yr

... deep learning: image classification, object detection, segmentation, and tracking across CNNs ... Publications at top-tier venues, open-source contributions, research internships, or substantial ...

... deep learning: image classification, object detection, segmentation, and tracking across CNNs ... Publications at top-tier venues, open-source contributions, research internships, or substantial ...

... 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 ...

Marketing Design Coordinator

Westminster, CO ยท On-site

$60K - $70K/yr

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 ...

Combine image processing with machine hardware knowledge to optimize measurement performance and ... include internships and/or co-op experience) * Minimum of 1+ years of experience in System ...

next page

Showing results 1-20

Internship Image Segmentation information

See salary details

$8

$15

$21

How much do internship image segmentation jobs pay per hour?

As of Jul 17, 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:

Sr. Research Data Scientist

Aicadium

San Diego, CA โ€ข On-site

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Aicadium is looking for a Senior Research Data Scientist to push the boundaries of computer vision and machine learning in real-world industrial settings. This is a hybrid role based in San Diego, where our U.S. headquarters is located.
You'll drive applied R&D across the full research lifecycle from conducting original research and prototyping state-of-the-art models to refining and validating them using messy, real-world visual data.


The ideal candidate brings deep technical expertise in modern computer vision, strong research instincts, and the communication skills to work effectively across research, engineering, and product teams.

Responsibilities:

  • Research, prototype, and develop state-of-the-art computer vision and deep learning models spanning detection, segmentation, tracking, and vision-language tasks.
  • Translate recent research into working implementations, reproducing baselines, running ablations, and quantifying practical tradeoffs.
  • Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation, synthetic data generation, and quality analysis.
  • Collaborate closely with engineering and product teams to move models from prototype to production, including optimization for edge or latency-constrained environments.
  • Communicate methods, results, and tradeoffs clearly to both technical and non-technical stakeholders.

Skills & Requirements:

  • Master's or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related field, or a Bachelor's with equivalent research or industry experience.
  • Strong foundation in modern computer vision and deep learning: image classification, object detection, segmentation, and tracking across CNNs, Vision Transformers, vision-language models, and foundation models.
  • Solid grasp of deep learning fundamentals: supervised and self-supervised learning, representation learning, optimization, loss design, and rigorous model training and evaluation.
  • Demonstrated ability to read, implement, and build on recent research papers, turning literature into working prototypes.
  • Hands-on experience with real-world visual data: dataset curation, annotation, augmentation, synthetic data, data-quality analysis, and low-data or noisy-data settings.
  • Strong applied mathematics (linear algebra, probability, statistics, optimization) and proficiency in Python with PyTorch or equivalent deep learning framework.
  • Strong collaboration and communication skills - able to work across research, engineering, and product, and present technical work clearly to mixed audiences.


Nice to Have:

  • Proven ability to reproduce, evaluate, and extend recent research, including careful baseline comparisons, ablation studies, and tradeoff analysis.
  • Experience in robotic vision, vision-language-action systems, world models, imitation learning, reinforcement learning, or generative models for image, video, or simulation.
  • Familiarity with 3D geometry, camera models, coordinate frames, and calibration.
  • Publications at top-tier venues, open-source contributions, research internships, or substantial project experience in computer vision, robotics, or embodied AI.
  • Hands-on experience deploying or optimizing models for production or edge environments - model compression, quantization, ONNX, TensorRT, or latency optimization.


About Us:

Aicadium is a global technology company delivering AI-powered industrial computer vision products into the hands of enterprises. With offices in Singapore and San Diego, California, and an international team of data scientists, engineers, and business strategists, Aicadium is operationalizing AI within organizations where advanced machine learning innovations were previously out of reach.


Team

Join a growing team of data scientists, machine learning, and software engineers in an agile development environment. Work together with some of the best in the field to tackle challenging projects and operationalize the solutions you develop across a variety of industries and use cases.

Culture

We work in a casual and collaborative startup environment. Every member of the team plays a key role in shaping the solutions we develop and creating positive business value for the companies we work with. We are building a hub of the best talent in San Diego, CA.


Benefits

Aicadium has a great benefits package to come with your salary. Benefits include PTO, Heath insurance, Vision and Dental Insurance, Life and AD&D, 401k with matching, and more!