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Remote Image Segmentation Jobs (NOW HIRING)

Codertal

Computer Vision Engineer

Union, NJ · Remote

$113K - $134K/yr

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role ... Work on image classification, object detection (YOLO, Faster R‐CNN), and segmentation (UNet, Mask ...

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You'll draw on your hands-on experience with medical image analysis, CT/MRI segmentation, or ... Fully remote; work from anywhere with a reliable internet connection and access to a desktop or ...

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Senior Machine Learning Engineer

Manhattan, NY · Remote

$115K - $158K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...

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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 ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...

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How much do remote image segmentation jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for 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 is a Remote Image Segmentation job?

A Remote Image Segmentation job involves labeling or partitioning images into different regions or objects using AI tools or manual annotation. This role is crucial for training computer vision models in applications like medical imaging, autonomous vehicles, and satellite imagery analysis. Professionals in this field work remotely using specialized software to annotate images accurately. Strong attention to detail and familiarity with image processing techniques are often required.

What are the key skills and qualifications needed to thrive in the Remote Image Segmentation position, and why are they important?

To thrive as a Remote Image Segmentation specialist, you need a solid background in computer vision, deep learning, and image processing, commonly supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and annotation platforms, as well as knowledge of relevant data labeling standards, is highly important. Attention to detail, strong problem-solving skills, and clear remote communication help drive success in collaborative projects. These abilities ensure high-quality, accurate image segmentation results and efficient teamwork in distributed environments.

What does a typical day look like for someone working in Remote Image Segmentation?

A typical day for a Remote Image Segmentation specialist involves reviewing image datasets, applying annotation algorithms or manually labeling images, and collaborating with team members through virtual meetings or project management platforms. You may spend significant time optimizing models, troubleshooting data inconsistencies, and documenting your progress for other team members or stakeholders. While much of the work is independent, regular communication with data scientists, project managers, and other annotators is essential to ensure that segmentation tasks meet project goals and quality standards. This structure allows for flexibility but also demands self-motivation and strong organization to handle deadlines and evolving project requirements.
More about Remote Image Segmentation jobs
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Remote Image Segmentation jobs near you
Infographic showing various Remote Image Segmentation job openings in the United States as of May 2026, with employment types broken down into 11% Internship, 67% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $90,701 per year, or $43.6 per hour.

Remote Computer Vision Engineer AI & Edge Deployment

Codertal

Union, NJ • Remote

Full-time

Posted 5 days ago

Job description

A leading tech company is seeking a remote Computer Vision Engineer to design and implement models for tasks including object detection and image segmentation. The role involves collaborating with teams to develop AI solutions for international clients. Candidates should possess strong experience in computer vision and deep learning frameworks like PyTorch or TensorFlow, along with a relevant degree.

This position offers competitive rates and flexible work hours. #J-18808-Ljbffr

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