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Internship Image Segmentation Jobs (NOW HIRING)

DeTect

AI Engineer - Computer Vision

Miami, FL · On-site

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

Detect

AI Engineer - Computer Vision

Miami, FL · On-site

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

EwingCole

Architect III - Healthcare Practice

Manhattan, NY · On-site

$110K - $140K/yr

... 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 ...

EwingCole

Architect III - Healthcare Practice

Manhattan, NY · On-site

$110K - $140K/yr

... 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 ...

ECS

Junior Software Engineer

Fairfax, VA · On-site

ECS is a federal segment of Everforth, a global organization specializing in advanced technology ... image parameters aligned to DoW container-hardening standards. • Supports security-scanning ...

HOPPR

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

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

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

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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 4, 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:
What job categories do people searching Internship Image Segmentation jobs look for? The top searched job categories for Internship Image Segmentation jobs are:
Internship Image Segmentation jobs near you
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.
AI Engineer - Computer Vision

AI Engineer - Computer Vision

DeTect

Miami, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Detect
At Detect, we're redefining how organizations see and respond to the world around them. Our mission is to turn complex data into clear, actionable insights that drive smarter decisions. We build cutting-edge solutions that fuse technology, geospatial intelligence, and automation to solve real-world challenges - from infrastructure management and public safety to climate resilience and beyond.
As a fast-growing, innovation-driven company, we're always looking for passionate and curious people to join our team. We value creativity, collaboration, and a commitment to excellence. At Detect, you'll work on impactful projects, use the latest tools and technologies, and help shape the future of intelligent systems.
Whether you're building software, analyzing data, or designing user experiences, you'll find your place here
Why Join Us?
  • Growth: With a strong emphasis on personal development, we encourage continuous learning and tackling challenging projects that contribute to your professional growth.
  • Impact: Play a pivotal role in shaping the future of our technology and products, directly influencing the success of our solutions.
  • Culture of experimentation: We live by the mantra "fail fast, fail often". By encouraging experimentation and learning from each failure, we pave the way for significant breakthroughs. We promote an environment where every team member is empowered to test new ideas, challenge the status quo and contribute to a culture of continuous innovation.
What you will do:
As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the development and evaluation of cutting-edge computer vision models and infrastructure that power our AI-driven inspection platform. You'll work alongside experienced engineers to tackle real-world problems in object detection, semantic segmentation, and image understanding. Here's a closer look at your responsibilities:
  • Experiment with and prototype computer vision models: Design, train, and evaluate deep learning models for object detection, segmentation and classification on real-world infrastructure imagery.
  • Support MLOps and data pipelines: Collaborate with the team to improve data preprocessing pipelines, model evaluation tools, and ML lifecycle tracking systems using tools like MLflow.
  • Perform error analysis and quality improvements: Analyze failure modes in models and datasets, and contribute to strategies for improving performance across edge cases.
Growth and Exploration Opportunities:
  • Advanced CV architectures: Explore and test state-of-the-art vision architectures including transformer-based vision models (e.g. ViTs, DINOv2, SAM3).
  • Production AI exposure: Gain hands-on experience in taking AI models from experimentation to deployment, including learning about dataset versioning, reproducibility, and model performance monitoring in production-like environments.
Requirements:
  • Experience building and deploying machine learning or computer vision solutions in real-world environments (production systems, customer-facing products, or internal platforms). Demonstrated experience through internships, research, or substantial projects is acceptable.
  • Strong foundation in computer vision and deep learning, with hands-on experience in areas such as object detection, semantic segmentation, or image classification.
  • Proficiency in Python and practical experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience working with end-to-end ML workflows, including data preprocessing, model training, evaluation, and iteration.
  • Comfortable working in ambiguous problem spaces and translating real-world constraints into technical solutions.
  • Strong communication skills and the ability to collaborate effectively with engineers, product, and operational teams
Nice to Have:
  • Experience deploying or supporting ML models in production (e.g., APIs, batch inference pipelines, edge deployment, or cloud-based systems).
  • Hands-on experience with MLOps tooling such as MLflow, Weights & Biases, DVC, or similar experiment tracking and lifecycle tools.
  • Familiarity with cloud platforms (GCP, AWS, or Azure) and containerized workflows (Docker).
  • Experience with large-scale or high-resolution imagery, including aerial, satellite, or infrastructure inspection data.
  • Experience improving model performance through data-centric approaches (dataset curation, labeling strategies, augmentation).
Details:
  • Location: Miami (In Office)
  • Salary range: 90k-120k USD
  • Note: This role is open to both junior and senior candidates. Scope, ownership and compensation will be calibrated based on experience.

Join Us!
If you're looking to make a real-world impact and grow with a company that values innovation, purpose, and people - we'd love to hear from you. At Detect, your ideas matter, your work has meaning, and your growth is our priority.
Tomorrow's Energy,
Today's Intelligence

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