ZipRecruiter

Log In

2

Remote Image Processing Intern Jobs in Chicago, IL

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... whole slide image (WSI) processing Experience with LoRAs, transformer architecture and ...

Graycor Inc.

Investment Analyst Internship

Chicago, IL · On-site +1

$950/wk

As an intern, you will work closely with key team members, contributing to critical business ... Remote work options for certain positions * Potential to earn up to $950 in wellness incentives

Snapsheet

Senior DevOps Engineer

Chicago, IL · On-site +1

$120K - $135K/yr

Remote Job Type: Full-time About Snapsheet: Snapsheet is claims technology the way it should be ... Where others bolt things on, we engineer them into our core systems and processes across cloud ...

Snapsheet

Senior DevOps Engineer

Chicago, IL · Remote

$120K - $135K/yr

Remote Job Type: Full-time About Snapsheet: Snapsheet is claims technology the way it should be ... Where others bolt things on, we engineer them into our core systems and processes across cloud ...

Xometry

Account Executive II

Chicago, IL · Remote

$54K - $70K/yr

You will serve as a key point of contact for customers guiding them through the sales process and ... EAP, other wellbeing resources; and much more. #LI-Remote

Jorie AI

Software Engineer

Oak Brook, IL · Remote

... Process Automation for end-to-end Revenue Cycle Management, providing practice and financial ... Our work environment: Remote opportunities Growth advancement opportunities Flexible work ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

... Process Automation for end-to-end Revenue Cycle Management, providing practice and financial ... Our work environment: Remote opportunities Growth advancement opportunities Flexible work ...

previous pagenext page

Showing results 21-40

All JobsImage Processing Intern JobsRemote Image Processing Intern JobsRemote Image Processing Intern Jobs in Chicago, IL

Remote Image Processing Intern information

See Chicago, IL salary details

$9

$17

$24

How much do remote image processing intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote image processing intern in Chicago, IL is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

What does a remote image processing intern do?

A Remote Image Processing Intern assists with analyzing, enhancing, and manipulating digital images using specialized software and algorithms. They typically work under the guidance of experienced engineers or data scientists, contributing to tasks such as image annotation, object detection, and developing image processing pipelines. As the role is remote, interns collaborate with team members online, participate in virtual meetings, and submit their work electronically. The position helps interns gain hands-on experience in computer vision and image analysis while building technical and communication skills.

What are the key skills and qualifications needed to thrive as a remote image processing intern?

To thrive as a Remote Image Processing Intern, you need a foundational understanding of image processing concepts, programming (commonly Python or MATLAB), and a related academic background such as computer science or engineering. Familiarity with tools and libraries like OpenCV, TensorFlow, and image annotation platforms is typically expected. Strong analytical thinking, attention to detail, and proactive communication skills help you stand out in a remote setting. These skills are crucial for efficiently handling complex image data tasks, collaborating virtually with teams, and contributing meaningful solutions to projects.

What are the typical collaboration methods for remote image processing interns working with distributed teams?

Remote Image Processing Interns often collaborate with team members through virtual platforms such as Slack, Microsoft Teams, or Zoom. They participate in regular stand-up meetings, share progress via project management tools like Jira or Trello, and review code using platforms like GitHub. Clear communication and proactive updates are crucial, as team members may be located in different time zones. Interns are encouraged to ask questions and seek feedback frequently to ensure alignment and steady progress.

What is the difference between Remote Image Processing Intern vs Remote Data Analyst Intern?

AspectRemote Image Processing InternRemote Data Analyst Intern
Required SkillsImage editing, basic programming, understanding of image formatsData analysis, Excel, statistical tools, programming
Work EnvironmentTech companies, media, or design firmsFinance, marketing, or research organizations
Industry UsageMedia, entertainment, techBusiness, finance, healthcare

The Remote Image Processing Intern focuses on editing and analyzing images, often requiring skills in image formats and basic programming. In contrast, the Remote Data Analyst Intern handles data sets, performs statistical analysis, and uses data visualization tools. Both roles are remote, entry-level, and industry-specific, but they serve different functions within their respective fields.

What are the most commonly searched types of Remote Image Processing jobs in Chicago, IL?

The most popular types of Remote Image Processing jobs in Chicago, IL are:

What are popular job titles related to Remote Image Processing Intern jobs in Chicago, IL?

For Remote Image Processing Intern jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Image Processing Intern jobs in Chicago, IL look for?

The top searched job categories for Remote Image Processing Intern jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Image Processing Intern jobs?

Cities near Chicago, IL with the most Remote Image Processing Intern job openings:

Remote Image Processing Intern jobs near you

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Re-posted 10 hours ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.