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Image Segmentation Jobs (NOW HIRING)

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis. * Integrate and optimize workflows across ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis. * Integrate and optimize workflows across ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis. * Integrate and optimize workflows across ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis. * Integrate and optimize workflows across ...

AgileEngine

Senior Computer Vision Engineer ID72408

Tampa, FL · On-site

$98K - $135K/yr

... detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and ...

Optimal Inc.

Project Engineer

Warren, MI · On-site

Design custom image segmentation and stitching algorithm, improving defect localization and real-time quality control. Build GUI-based visualization software via PyQt for interactive defect analysis ...

AgileEngine

Senior Computer Vision Engineer ID72408

Miami, FL · On-site

$99K - $137K/yr

... detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and ...

Optimal Inc.

Project Engineer

Embry Hills, GA

Design custom image segmentation and stitching algorithm, improving defect localization and real-time quality control. Build GUI-based visualization software via PyQt for interactive defect analysis ...

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All JobsImage Segmentation Jobs

Image Segmentation information

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$18

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How much do image segmentation jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for image segmentation in the United States is $43.61, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $50.72 per hour, depending on experience, location, and employer.

What is an image segmentation?

An Image Segmentation job involves developing algorithms and models to partition digital images into meaningful regions or objects. Professionals in this role often work with computer vision, deep learning, and artificial intelligence to improve image analysis. Tasks may include data annotation, training machine learning models, and optimizing segmentation accuracy for applications like medical imaging, autonomous vehicles, and industrial automation. Strong programming skills in Python and experience with frameworks like TensorFlow or OpenCV are typically required.

What are the key skills and qualifications needed to thrive in image segmentation, and why are they important?

To excel in Image Segmentation, you need a solid background in computer vision, machine learning, and data annotation, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, OpenCV, TensorFlow, and specialized annotation software is typically required. Attention to detail, collaborative mindset, and effective communication are important soft skills in this position. Mastering these abilities ensures precise segmentation work, efficient teamwork, and contributions to projects in fields such as healthcare, autonomous driving, and digital imaging.

What are the common challenges faced in an image segmentation role?

Professionals in image segmentation often encounter challenges such as dealing with low-quality or ambiguous images, managing large datasets, and ensuring consistency in labeling across various data sources. Staying up to date with rapidly evolving algorithms and tools in computer vision is also important for maintaining best practices. Effective communication with data scientists, engineers, and project managers is key for understanding project requirements and delivering high-quality segmentation results. Overcoming these challenges not only helps produce more accurate models but also contributes to personal skill growth and deeper team collaboration.

What cities are hiring for Image Segmentation jobs?

Cities with the most 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 Image Segmentation jobs?

States with the most job openings for Image Segmentation jobs include:

What job categories do people searching Image Segmentation jobs look for?

The top searched job categories for Image Segmentation jobs are:

Image Segmentation jobs near you
Infographic showing various Image Segmentation job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,701 per year, or $43.6 per hour.

Scientist II

System One

Ridgefield, CT • On-site

$35 - $40.05/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago

Job description

Job Title: Digital Pathology Image Scientist Location: Ridgefield, Connecticut Type: 24 month contract Compensation: $35-40.05/hr, depending on qualifications Contractor Work Model: Onsite Hours: 40.0

Overview

The Digital Pathology Image Scientist develops and applies advanced image analysis workflows to support biomedical research and digital pathology initiatives. This role combines computational image analysis, machine learning, and scientific collaboration to generate reproducible, high-quality data from complex imaging datasets while supporting biomarker development and translational research.

Responsibilities

  • Develop, optimize, and maintain image analysis pipelines for 2D and 3D biomedical imaging data.
  • Perform quantitative analysis of histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging datasets.
  • Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis.
  • Integrate and optimize workflows across digital pathology platforms, including HALO AI, Visiopharm, QuPath, and CellProfiler.
  • Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and support research objectives.
  • Validate image-derived biomarkers and ensure analytical accuracy, reproducibility, and scientific rigor.
  • Document analytical workflows, methodologies, and validation processes to support reproducible research.
  • Interpret, visualize, and communicate image-based findings for scientific reports and presentations.
  • Support cross-functional collaboration by transferring image analysis workflows, algorithms, and best practices across laboratory teams.

Requirements

  • Bachelor's degree in a scientific discipline with 3+ years of relevant experience, or a Master's degree in a related scientific discipline, or equivalent combination of education and experience.
  • Proficiency in scientific programming using Python and/or R.
  • Experience developing and applying machine learning techniques for biomedical image analysis.
  • Experience analyzing pathology images, including H&E, IHC, immunofluorescence (IF), and multiplex immunohistochemistry (mIHC).
  • Experience with one or more digital pathology image analysis platforms, such as HALO AI, Visiopharm, QuPath, or CellProfiler.
  • Experience with image segmentation, feature extraction, classification, and quantitative image analysis workflows.
  • Ability to document analytical methods and produce reproducible, validated image analysis pipelines.
  • Strong analytical and problem-solving skills with the ability to work independently on complex scientific projects.

Preferred Qualifications

  • Experience in tumor immunology and histopathology.
  • Previous experience within the biotechnology or pharmaceutical industry.
  • Experience supporting biomarker development or translational research programs.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #558-Scientific

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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