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Full Time Remote Image Segmentation Jobs (NOW HIRING)

digitalglobalservices

Computer Vision Engineer

Little Rock, AR · On-site +1

$106.90K - $126.10K/yr

Remote / On-site / Flexible Employment Type: Full-time Job Summary We are seeking a skilled ... image segmentation, and pose estimation. Train and optimize deep learning models using frameworks ...

Hitachi

Data Center Segment Head

Santa Clara, CA · Remote

Sales, Marketing & Product Management Job Schedule: Full time Remote: Yes Data Center Segment Head Division: Global Marketing & Sales Location: Santa Clara, CA (preferred) or Remote This is a rare ...

Hitachi, Ltd.

Data Center Segment Head

Sales, Marketing & Product Management Job Schedule: Full time Remote: Yes Data Center Segment Head Division: Global Marketing & Sales Location: Santa Clara, CA (preferred) or Remote This is a rare ...

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Full Time Remote Image Segmentation information

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How much do full time remote image segmentation jobs pay per hour?

As of May 31, 2026, the average hourly pay for full time remote 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 are the most commonly searched types of Remote Image Segmentation jobs? The most popular types of Remote Image Segmentation jobs are:
Full Time Remote Image Segmentation jobs near you
Infographic showing various Full Time Remote Image Segmentation job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Part Time, and 1% Temporary. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $90,701 per year, or $43.6 per hour.

Radiologic Technologist | Remote

Crossing Hurdles

Manhattan, NY • Remote

Full-time

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

Job description

Lead the full lifecycle of 3D Slicer projects, from raw imaging import to final processed outputs. Perform DICOM import, image segmentation, structure delineation, and advanced 3D reconstructions using 3D Slicer. Execute image registration, quantitative analysis, and troubleshooting within the 3D Slicer environment.

Document and clearly explain workflows, clinical rationale, and technical decisions in written and verbal formats. Collaborate remotely with multidisciplinary teams across radiology, neuroscience, or biomedical engineering. Provide domain expertise to help train AI systems on expert 3D Slicer usage and decision-making.

Identify and resolve software issues to ensure smooth end-to-end project delivery. Requirements Demonstrated professional expertise in 3D Slicer with end-to-end project experience. Strong background in medical imaging, radiology, neuroscience, surgical planning, or related field.

Deep experience with DICOM workflows, segmentation, registration, and 3D visualization. Excellent written and verbal communication skills. Hands-on familiarity with 3D Slicer modules, extensions, and troubleshooting.

Proven ability to independently deliver high-quality projects. Comfortable working remotely with cross-functional teams. #J-18808-Ljbffr

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