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From Home Image Segmentation Jobs (NOW HIRING)

As we scale our technology from pilot to commercial manufacturing, we are building a world-class ... Support integration of analysis features and image segmentation tools. * Help test and debug new ...

As we scale our technology from pilot to commercial manufacturing, we are building a world-class ... Support integration of analysis features and image segmentation tools. * Help test and debug new ...

Computer Vision Engineer

Union, NJ · Remote

$113K - $134K/yr

Work on image classification, object detection (YOLO, Faster R‐CNN), and segmentation (UNet, Mask ... happy to hear from you! Apply Now Name Phone Email Rate per day (euros) CV Explore more ...

Open Position

Durham, NC · On-site

$21 - $28.50/hr

... 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 ...

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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 Jun 6, 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.

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Computer Science Intern

SkyNano

Knoxville, TN

Other

Posted 23 days ago


Job description

Job Title: Computer Science Intern

Location: Knoxville, TN | Full-Time, Summer 2026

Company: SkyNano LLC

About SkyNano

SkyNano is a fast-growing startup transforming carbon emissions into value. We've developed and patented an electrochemical process to convert CO into high-performance carbon nanotubes (CNTs) and battery-grade graphite, unlocking new possibilities for advanced materials while solving urgent industrial challenges. As we scale our technology from pilot to commercial manufacturing, we are building a world-class team of engineers, scientists, and builders motivated by deep technical challenges and real-world impact.

At SkyNano, you'll find a mission-driven culture that values creativity, rigorous engineering, cross-disciplinary collaboration, and continuous learning. Your work will directly contribute to scaling a first-of-a-kind, high-temperature electrochemical manufacturing platform.

Position Summary

We are seeking a full-time Computer Science Intern to join our team for the Summer of 2026 in our Knoxville, Tennessee facility. The intern's primary project will be the development of a semi-automated image analysis tool for carbon processing from scanning electron microscopy (SEM) images.

Key Responsibilities:

  • Assist in developing and refining a Python-based GUI using PyQt5 and OpenCV.
  • Support integration of analysis features and image segmentation tools.
  • Help test and debug new functionality across different image sets.
  • Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Background coding Knowledge:

  • Python is required, C++ is a bonus to understand the API's.
  • Knowledge of PyQt5 or other GUI frameworks is strongly preferred.
  • OpenCV for image processing is strongly preferred.
  • Familiarity with NumPy and Matplotlib.
  • Familiar with understanding image segmentation, masking, or broad image analysis.

Course Requirements/Level of expertise: Junior level and above.

Other Requirements: Must be a U.S. Citizen.