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Contract Computer Vision Engineer Jobs (NOW HIRING)

Computer Vision Engineer

Grapevine, TX ยท On-site

$103K - $121K/yr

Required : โ€ข Expertise in developing real-time computer vision models โ€ข Python, Pytorch, tensorflow โ€ข CV/ML model development โ€ข Object recognition/Detection โ€ข Bachelor's degree or foreign ...

Computer Vision Engineer - UAS

San Antonio, TX ยท On-site

$100K - $118K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual autonomy stack. This role is critical to delivering robust onboard vision capabilities - object ...

Computer Vision Engineer

Burlingame, CA

$125K - $148K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

New

Computer Vision Engineer

Redmond, WA

$124K - $147K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

New

Computer Vision Engineer

Sunnyvale, CA

$130K - $154K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

New

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Contract Computer Vision Engineer information

See salary details

$48.5K

$121.5K

$137.5K

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

As of Jul 10, 2026, the average yearly pay for contract 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 are the key skills and qualifications needed to thrive as a Contract Computer Vision Engineer, and why are they important?

To thrive as a Contract Computer Vision Engineer, you need strong programming skills in Python or C++, a solid understanding of machine learning algorithms, and a background in computer vision concepts, often supported by a relevant degree. Familiarity with tools like OpenCV, TensorFlow, PyTorch, and experience with cloud platforms or version control systems is typically required. Excellent problem-solving abilities, adaptability, and clear communication help you collaborate well with clients and teams on diverse projects. These skills are crucial to efficiently deliver high-quality, innovative computer vision solutions that meet client requirements on time.

What are Contract Computer Vision Engineers?

Contract Computer Vision Engineers are professionals who specialize in developing and implementing computer vision algorithms and systems on a contract or freelance basis, rather than as full-time employees. They use their expertise in machine learning, image processing, and software engineering to help organizations solve problems involving visual data, such as object detection, image classification, and facial recognition. These engineers typically work on short- or medium-term projects, providing specialized skills and flexibility to companies that need computer vision solutions without hiring permanent staff.

What are some common challenges a Contract Computer Vision Engineer might face when integrating CV solutions into existing client systems?

As a Contract Computer Vision Engineer, you'll often encounter the challenge of integrating your models and algorithms with a client's existing infrastructure, which may use outdated or unfamiliar technologies. Ensuring compatibility, optimizing performance for specific hardware, and addressing data privacy concerns are frequent hurdles. Additionally, since contract roles are typically project-based, you may need to quickly adapt to new codebases and collaborate with multidisciplinary teams to align your solutions with broader business objectives. Clear communication and documentation are crucial to ensure smooth handover and long-term maintainability.

What is the difference between Contract Computer Vision Engineer vs Contract Machine Learning Engineer?

AspectContract Computer Vision EngineerContract Machine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in CV frameworksBachelor's or Master's in CS, experience in ML frameworks
Work EnvironmentTech companies, startups, research labsTech companies, startups, research labs
Employer & Industry UsageUsed in image/video analysis, autonomous vehicles, roboticsUsed in predictive modeling, data analysis, AI applications

Contract Computer Vision Engineers focus on developing algorithms for image and video processing, while Contract Machine Learning Engineers work on broader AI models. Both roles often share similar credentials and work environments but differ in their specific technical focus and application areas.

More about Contract Computer Vision Engineer jobs
What cities are hiring for Contract Computer Vision Engineer jobs? Cities with the most Contract 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 Contract Computer Vision Engineer jobs? States with the most job openings for Contract Computer Vision Engineer jobs include:
Infographic showing various Contract Computer Vision Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Senior Computer Vision Engineer

Senior Computer Vision Engineer

Hired Recruiters

San Francisco, CA โ€ข On-site

$123K - $169K/yr

Full-time

Re-posted 27 days ago


Job description


AI-powered biology automation.
We are searching for a full-time Senior Computer Vision Engineer to be part of the founding team and work on automating life science methodology.
As a Senior Computer Vision Engineer, you will shape the direction of our AI perception technology and your work will be essential to the success of the company at the proof of concept stage and beyond. You will lead the application of the best available deep learning-based computer vision models to our innovative biology automation platform.
The Opportunity
  • Partner with founder to architect our production AI perception system
  • Own the computer vision pipeline and deploy models to production
  • Ship quality, well-tested code on a modern technology stack
  • Lead software design discussions and code reviews and help shape product direction
  • Encourage, motivate, and mentor other engineers to hone their craft

You'll Need
  • Proven history of designing, training, and deploying CNN computer vision models to production
  • 5+ years of experience in computer vision, perception, and deep learning
  • Experience with PyTorch and OpenCV
  • Experience designing and operating labeling systems
  • Strong written and verbal communication and collaboration skills
  • Desire to grow and learn while innovating on a system that grows and learns
  • Aptitude and passion for technical leadership, code and model reviews, and development of teammates

Bonus
  • BS, MS or PhD in Computer Science, Robotics, or related field
  • Experience with C/C++
  • Experience with ResNet, MobileNet, and DeepStream
  • Experience with multi-camera object tracking, depth, and pose estimation
  • Experience deploying models with GCP Services Vertex AI and Vision OCR
  • Experience with scientific computing or laboratory automation
  • Prior academic publication record in computer vision or related field
  • Experience working in a collaborative and fast-paced Agile team environment
  • Passion for biology and a startup work environment!

Culture
We think culture is something we build together, and should be used to motivate and cohere, rather than to exclude. If you are curious and excited about science and technology, enjoying working in a high autonomy, high accountability, and hands on environment, there's a good chance you'll be energized working at Methid. We have a strong goal-oriented and asynchronous culture, so cogent and pithy writers will flourish. We emphasize learning and transparency and look for people who can expand the product's capabilities as well as their own.