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Remote Computer Vision Engineer Jobs in California

Senior Software Engineer

Mountain View, CA ยท On-site +1

$170K - $230K/yr

Our fully autonomous Corvus Oneโ„ข drones use computer vision & robotics to automatically track ... Travel with the CEO to customer sites to learn from user feedback This role is hybrid or remote (US ...

... computer vision AI. This is a full-time, remote role focused on helping customers successfully ... Coordinate with internal teams including solutions engineering, machine learning, product, and ...

Lead Machine Learning Engineer

Millbrae, CA ยท On-site +1

$119K - $156K/yr

Computer vision for human activity and sentiment classification * Development of data mining, analytics, dashboards and reporting systems * Engineering management (both personnel & projects) * LAMP ...

EDA / CAD Engineer

Palo Alto, CA ยท Remote

$150K - $260K/yr

Remote computing support experience (ETX) * Experience supporting engineering across multiple ... CAD workflows. * CI/CD & regression infrastructure: Jenkins, GitLab CI/CD, GitHub Actions ...

Showing results 41-60

Remote Computer Vision Engineer information

See California salary details

$47.9K

$119.9K

$135.7K

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

As of Sep 10, 2026, the average yearly pay for remote computer vision engineer in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 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.

What are the most commonly searched types of Computer Vision Engineer jobs in California?

The most popular types of Computer Vision Engineer jobs in California are:

What are popular job titles related to Remote Computer Vision Engineer jobs in California?

For Remote Computer Vision Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Computer Vision Engineer jobs in California look for?

The top searched job categories for Remote Computer Vision Engineer jobs in California are:

What cities in California are hiring for Remote Computer Vision Engineer jobs?

Cities in California with the most Remote Computer Vision Engineer job openings:

Infographic showing various Remote Computer Vision Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Architect CAD & Construction Documentation - Remote

Los Angeles, CA โ€ข Remote

$35 - $60/hr

Full-time

Posted 16 days ago


Job description

Job Description

Role Title: Architect CAD & Construction Documentation

Role Type: Contract

Location: Remote


Scope of Work:

  • Create detailed floor plans and elevation sets based on project requirements
  • Develop comprehensive CAD drawings for architectural and engineering purposes
  • Prepare accurate Geometric Dimensioning and Tolerancing (GD&T) callouts for manufacturing documentation
  • Produce and annotate multi-sheet electrical schematics to industry standards
  • Design and review PCB layouts, integrating best practices for manufacturability and functionality
  • Collaborate through exchanges to clarify requirements and resolve technical questions
  • Deliver thorough documentation packages consistent with project milestones and quality expectations

Preferred Qualifications:

  • Minimum of 3 years of recent experience in architectural CAD and construction documentation
  • Proficiency with industry-standard tools for 2D/3D CAD and PCB layout design
  • Proven ability to generate and interpret GD&T callouts and complex schematic diagrams
  • Experience developing multi-sheet electrical schematics and integrating PCB layouts within building projects
  • Strong attention to detail and organizational skills for managing multi-document sets
  • Advanced communication skills in English
  • Background in collaborating on remote, cross-functional projects is a plus