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Computer Vision Remote Jobs in Santa Clara, CA (NOW HIRING)

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How much do computer vision remote jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for computer vision remote in Santa Clara, CA is $24.49, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $27.40 per hour, depending on experience, location, and employer.

What is a computer vision remote?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in computer vision remote?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are the most commonly searched types of Computer Vision jobs in Santa Clara, CA?

The most popular types of Computer Vision jobs in Santa Clara, CA are:

What are popular job titles related to Computer Vision Remote jobs in Santa Clara, CA?

For Computer Vision Remote jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Remote jobs in Santa Clara, CA look for?

The top searched job categories for Computer Vision Remote jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Computer Vision Remote jobs?

Cities near Santa Clara, CA with the most Computer Vision Remote job openings:

Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $50,937 per year, or $24.5 per hour.

Software Engineer II - AV Labs

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

Re-posted 25 days ago

Uber rating

6.7

Company rating: 6.7 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the Role
Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.
You will be at the forefront of Physical AI, building advanced autonomy algorithms to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest autonomy techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior.The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.
What You Will Do

  • Algorithm Development: Develop algorithms that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
  • System Design: Architect onboard systems, including management of upstream sensor dependencies and evaluation metrics for the stack.
  • Dataset Optimization: Define the requirements for high-quality large evaluation datasets and objective metrics to evaluate the performance of the system..
  • Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

Basic Qualifications

  • 2+ years of working experience in software engineering.
  • Bachelor's degree (or higher) in Mathematics, Physics, Computer Science, Computer Engineering, or related fields.

Preferred Qualifications

  • Experience in the Autonomous Driving domain
  • Proficient in C++ and Linux environments.
  • Proven track record of deploying algorithms in safety-critical physical systems.
  • Master's or PhD degree in Computer Vision, Game Theory, Robotics, or Machine Learning.
  • Familiarity with python.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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