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Remote Computer Vision Engineer Jobs (NOW HIRING)

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

We are seeking a Senior Computer Vision Engineer to join our team. Who you'll be working with: * Dr ... Experience with high-res aerial/remote sensing imagery and LiDAR * Experience with self-supervised ...

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... The Role We are looking for a motivated Computer Vision Engineer to help build the next generation ...

New

SumerSports LLC

Computer Vision Engineer

$114K - $134K/yr

We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence ... Remote working environment * Generous paid holiday schedule - 13 in total including Monday after ...

Toggle Robotics

3D Computer Vision Engineer

$114K - $134K/yr

They are seeking a 3D Computer Vision Engineer to develop software that transforms raw 3D scan data into reliable measurements and decisions for quality control in fabrication environments.

Pano

Senior Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... As a Senior Computer Vision Engineer, you will lead the design, development, optimization, and ...

New

Weekday AI

Computer Vision Expert

$80 - $110/hr

This is a part-time, fully remote opportunity requiring approximately 20 hours per week . Requirements Key Responsibilities * Design challenging, real-world computer vision tasks across domains such ...

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Remote Computer Vision Engineer information

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How much do remote computer vision engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote computer vision engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a remote computer vision engineer?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote computer vision engineer?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

More about Remote Computer Vision Engineer jobs
What cities are hiring for Remote Computer Vision Engineer jobs? Cities with the most Remote Computer Vision Engineer job openings:
What are the most commonly searched types of Computer Vision Engineer jobs? The most popular types of Computer Vision Engineer jobs are:
What states have the most Remote Computer Vision Engineer jobs? States with the most job openings for Remote Computer Vision Engineer jobs include:
What job categories do people searching Remote Computer Vision Engineer jobs look for? The top searched job categories for Remote Computer Vision Engineer jobs are:
Remote Computer Vision Engineer jobs near you
Infographic showing various Remote Computer Vision Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision Engineer

Duranta

Seattle, WA • On-site, Remote

$160K - $275K/yr

Full-time

Re-posted 6 days ago

Job description

ABOUT DURANTA & WHAT WE'RE LOOKING FOR

Duranta is an applied AI lab changing the way the world sees the world. Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D, redefining how industries interact with the physical world through Artificial Spatial Intelligence.  Duranta's founding team have built unicorns, had successful exits and published groundbreaking research within the field of computer vision. We are seeking a Senior Computer Vision Engineer to join our team.

Who you'll be working with:

  • Dr. Amir Zamir - maker of 4M, Taskonomy, FlexToK, winner of Best Paper award (CVPR, SIGGRAPH)
  • Dr. Romann Bachmann - maker of MultiMAE, collaborator on MODUS, winner young investigator award
  • A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU and NYU

You will also work closely with the founding team on deep learning research and deployment across semantic and instance segmentation, few-shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of our computer vision pipelines for extracting comprehensive intelligence from optical imagery.

RESPONSIBILITIES & FOCUS AREAS
  • Building the components of a state-of-the-art computer vision pipeline for our AI system
  • Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
  • Run experiments at scale with deep learning frameworks like PyTorch 
  • Develop and maintain clean, modular ML infrastructure
  • Collaborate on model deployment and inference optimizations
  • Read and reproduce ideas from latest papers (CVPR, NeurIPS and other similar top-tier venues)
YOU WILL THRIVE IF YOU HAVE
  • Have 5+ years experience in ML / deep learning, ideally in Computer Vision
  • Have strong coding ability (Python, PyTorch) 
  • Have trained segmentation/detection models on real-world data at scale
  • Have experience with generative modeling and large foundation models
  • Have worked in startups or fast-moving teams and can wear many hats
AND FOR EXTRA CREDIT...
  • Experience with high-res aerial/remote sensing imagery and LiDAR
  • Experience with self-supervised and weakly-supervised learning
  • Knowledge of 3D, CAD and computer graphics
  • Experience with cloud computing (e.g., AWS)
DURANTA VALUES
  • API = Assume Positive Intent. Our company, your relationship with co-workers and customers, and life is so much better and more fun if you follow this rule.
  • Speed is the Essence. We are in a hurry to make a difference.
  • Expect Peak Performance. We strive for excellence and empower those around us to do the same.
  • Build something beautiful. A beautiful product, a beautiful company, and a more beautiful world.
$160,000 - $275,000 a year
+ equity
 
Note: Base salary & equity will depend largely on leveling.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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