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From Home Image Segmentation Jobs (NOW HIRING)

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data from complex imaging datasets while supporting biomarker development and translational ... Apply classical image processing and machine learning techniques for image segmentation, feature ...

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data from complex imaging datasets while supporting biomarker development and translational ... Apply classical image processing and machine learning techniques for image segmentation, feature ...

Open Position

Durham, NC · On-site

$21 - $28.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... image segmentation, or object localization. - Develop novel mechanisms for handling building ... from NASA, veterans of the U.S. Special Operations Forces, and doctorates in Robotics and Civil ...

... from research and experiment design through production deployment and monitoring -- applying ... image segmentation, and OCR using PyTorch (preferred) or TensorFlow • Strong Python proficiency ...

... from a manually driven characterization tool into a system that can navigate samples, make ... Experience with image segmentation, particle finding, feature detection, or morphology analysis.

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Proven experience developing semantic segmentation, object detection, classification, and image ... vary from the range posted. JOB FAMILY: Research and Discovery DIVISION: AVD Vascular LOCATION:

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Proven experience developing semantic segmentation, object detection, classification, and image ... vary from the range posted. JOB FAMILY: Research and Discovery DIVISION: AVD Vascular LOCATION:

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Proven experience developing semantic segmentation, object detection, classification, and image ... vary from the range posted. JOB FAMILY: Research and Discovery DIVISION: AVD Vascular LOCATION:

Showing results 21-40

From Home Image Segmentation information

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$759

$2.1K

$3.1K

How much do from home image segmentation jobs pay per week?

As of Aug 12, 2026, the average weekly pay for from home image segmentation in the United States is $2,116.79, according to ZipRecruiter salary data. Most workers in this role earn between $1,557.69 and $2,634.62 per week, depending on experience, location, and employer.

What is the difference between From Home Image Segmentation vs From Home Data Annotation?

AspectFrom Home Image SegmentationFrom Home Data Annotation
Primary FocusSegmenting images into meaningful partsLabeling data points or objects in images
Required SkillsComputer vision, image processing, annotation toolsData labeling, attention to detail, annotation software
Work EnvironmentRemote, flexible, tech-focusedRemote, flexible, data-driven
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data training

From Home Image Segmentation involves dividing images into segments for AI training, requiring technical skills in image processing. From Home Data Annotation focuses on labeling data for machine learning, emphasizing accuracy in data labeling. Both roles are remote, industry-specific, and essential for AI development, but they differ in technical complexity and focus areas.

More about From Home Image Segmentation jobs
What cities are hiring for From Home Image Segmentation jobs? Cities with the most From Home 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 From Home Image Segmentation jobs? States with the most job openings for From Home Image Segmentation jobs include:
What job categories do people searching From Home Image Segmentation jobs look for? The top searched job categories for From Home Image Segmentation jobs are:
Infographic showing various From Home Image Segmentation job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 24% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $110,073 per year, or $52.9 per hour.

Scientist II

System One

Ridgefield, CT • On-site

$35 - $40.05/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 26 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