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Online Computer Vision Jobs in Arizona (NOW HIRING)

The RealReal

Staff Product Manager

Phoenix, AZ · On-site

... in computer vision, tagging/classification, or digital media processing. • Proven success ... Company : The RealReal is an online marketplace for authenticated and consigned luxury goods.

Clayton Homes

Cad Operator

Buckeye, AZ

$19 - $26/hr

... dental, and vision benefits package. Clayton provides competitive 401K programs, including ... online or in-person for team members. Clayton is committed to creating an inclusive workplace.

Clayton Homes

Cad Operator

Buckeye, AZ · On-site

$19 - $26/hr

... dental, and vision benefits package. Clayton provides competitive 401K programs, including ... online or in-person for team members. Clayton is committed to creating an inclusive workplace.

U.S. Department of Defense (DOD)

$76.46K/yr

Knowledge of computer engineering policies, theories, principles and concepts, and familiarity with other engineering disciplines. * Knowledge of automated data processing concepts, systems ...

US Department of the Air Force

$76.46K/yr

Knowledge of computer engineering policies, theories, principles and concepts, and familiarity with other engineering disciplines. * Knowledge of automated data processing concepts, systems ...

US Department of the Air Force

$56.76K/yr

... computer operations and standard software applications . PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and ...

TrackMan A/S

Shipping Associate

Phoenix, AZ

$16 - $19/hr

Process online orders and maintain product listings on platforms such as Shopify, Amazon, or eBay ... computer vision, data, and software engineering. Our solutions are developed by specialists who ...

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Online Computer Vision information

What are the key skills and qualifications needed to thrive as an Online Computer Vision Engineer, and why are they important?

To excel as an Online Computer Vision Engineer, you need a solid background in computer science, machine learning, and image processing, typically supported by a relevant degree. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience with OpenCV, and proficiency in programming languages like Python or C++ are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies enable the development of accurate, scalable computer vision solutions that drive innovation in real-time, online environments.

What are some common challenges faced by professionals working in online computer vision roles?

Professionals in online computer vision often encounter challenges such as processing large volumes of visual data in real-time and ensuring high accuracy in diverse and unpredictable environments. They must also address latency and bandwidth constraints when deploying models over the internet, and regularly update algorithms to keep up with evolving data patterns. Collaboration with data engineers, software developers, and product teams is essential to integrate vision solutions into scalable systems and deliver user-centric results.

What is an Online Computer Vision specialist?

An Online Computer Vision specialist is a professional who designs and implements computer vision algorithms and systems that process images or videos in real-time over the internet or cloud platforms. Their work often involves developing applications for object detection, facial recognition, image classification, and video analysis that operate efficiently in online or streaming environments. These specialists need strong skills in programming, machine learning, and computer vision frameworks, and they often collaborate with data scientists and software engineers to deploy scalable solutions. Online Computer Vision is commonly used in industries such as security, healthcare, retail, and autonomous vehicles.

What is the difference between Online Computer Vision vs Computer Vision Engineer?

AspectOnline Computer VisionComputer Vision Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of machine learning and programmingBachelor's or Master's in Computer Science, AI, or related fields; strong programming skills in Python, C++, and experience with deep learning frameworks
Work EnvironmentRemote or online platforms, project-based tasks, often freelance or contract rolesOffice or remote, involved in developing and deploying computer vision models within teams
Employer & Industry UsageTech companies, startups, research labs focusing on AI applicationsTech firms, R&D departments, startups working on AI and image processing solutions

Online Computer Vision roles typically focus on applying computer vision techniques in online or remote settings, often involving freelance or project-based work. In contrast, Computer Vision Engineers are more involved in developing, implementing, and maintaining computer vision systems within organizations. Both roles require similar educational backgrounds but differ in work environment and scope of responsibilities.

What are the most commonly searched types of Computer Vision jobs in Arizona? The most popular types of Computer Vision jobs in Arizona are:
What are popular job titles related to Online Computer Vision jobs in Arizona? For Online Computer Vision jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Online Computer Vision jobs in Arizona look for? The top searched job categories for Online Computer Vision jobs in Arizona are:
What cities in Arizona are hiring for Online Computer Vision jobs? Cities in Arizona with the most Online Computer Vision job openings:
Online Computer Vision jobs near you
Infographic showing various Online Computer Vision job openings in Arizona as of May 2026, with employment types broken down into 1% As Needed, 70% Full Time, 21% Part Time, 1% Temporary, and 7% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Robotics and Embedded Systems Professor - Full-Time, Part-Time, or Adjunct

Robotics and Embedded Systems Professor - Full-Time, Part-Time, or Adjunct

University of Advancing Technology

Tempe, AZ • On-site

$3K/wk

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

Job description

Are you passionate about Robotics and want to share it with students excited to be in your classroom?
Who We Are:
University of Advancing Technology (UAT) is an elite intimate private college in Tempe, AZ focused on educating students in advancing technology who desire to innovate in the areas of emerging technology disciplines including Advancing Computer Science, Information Security, Game and New Media technologies.
Living on campus, students are surrounded by a true living-learning technology environment that incubates their ideas into innovations that students can patent and take to market. Students must create an innovation project to graduate.
We are an entrepreneurial, results-oriented company recognized for delivering high standards of innovation and service. As an organization designed to change the lives of some of the brightest young minds, we rely on the excellence of every member of our family to continuously exceed our own standards and our students' expectations.
The Role:
The Robotics Professor is directly responsible for developing and delivering courses that ensure UAT students achieve their program's learning outcomes, complete their programs and have an exceptional YRBL learning experience.
Professors primarily spend their time planning and delivering the learning experiences that guide students towards learning course objectives, creating innovative works and graduating as ethical technologists. Professors are masters of the YRBL methodology and effectively use all of its elements every day while mentoring students in ways that provide them with an exceptionally satisfying collegiate experience. Using UAT's systems, Professors provide timely and continuous feedback to students while focusing on helping all of them achieve every learning objective. As a teaching faculty member, Professors work with their peers and the Faculty Council to improve their courses while examining feedback from advisors, students and performance data.
Don't have teaching experience - that's where we come in. UAT's team of faculty and staff will work with you as you:
Essential Duties:
  • Inspire, motivate, and mentor students
  • Facilitate relevant student projects and innovations
  • Development and delivery of coursework that reflect current, emerging and future technologies and practices in the engineering field
  • Be an active member of the engineering community and encourage student participation

Education and Skills Requirements: Master's degree in robotics or relevant field with 18 credit hours in robotics required; Doctorate preferred
A combination of the below skills are preferred:
  • ARM microcontroller architecture and programming
  • Mechanical engineering fundamental concepts
    • Mechanical advantage
    • Simple machines
    • Simple physical analysis (torque, kinematics, etc.)
    • Components used to create a complex mechanism
  • Computer vision
  • Digital Vision and Sensor processing
    • Computer vision
    • Edge finding
    • Texture analysis
    • Detection / Sending methods in robots
  • Autonomous vehicles
    • Aerial vehicles
      • Computer control (for both fixed-wing and rotorcraft aerial vehicles)
      • Flight mechanics and electronic control of flight
      • Control base stations
      • Software techniques for controlling flying vehicles
    • Ground vehicles
      • creating fully autonomous ground vehicle that can learn, memorize, track and intercept a given object
  • Mechatronics
    • Basic mechanical design
      • Mechanical drafting and design
      • Design analysis
      • Rapid prototyping
    • PCB layout
      • Schematic capture
      • Design for electromagnetic interference
      • CRC design rules
      • Surface-mount layout
    • Common mechanical control methods
      • Controls theory
      • PID control methodology
      • Adaptive control systems

Pedagogy:
University of Advancing Technology's Synchronic Learning model is designed especially for students of advancing technology. Tailored to both undergraduate and graduate students, Synchronic Learning provides an education framework that prepares superior graduates to become tomorrow's innovators. This model embodies UAT's methodologies, curricula, and people dedicated to fostering an environment of innovation that promotes demonstrated mastery and job readiness. An integral part of this framework is SyncFlex, a flexible learning approach with an emphasis on mentored education that provides real project experience to cultivate superior graduates.
Important Notes:
Location Requirements: This is not a remote position; candidates must be willing to work in-person at our campus in Tempe, AZ.
Adjunct Pay: $3,000 for in-person courses; $2,400 for hybrid/online courses
Part-Time Pay: $42,500 - $55,000 dependent on Education and Experience
Full-Time Salary + Benefits: $85k-$110k dependent on Education and Experience.
  • Medical insurance option with UAT covering 60% of the premium cost, depending on coverage selection.
  • UAT has your BACK, by covering 100% of the monthly premium for Short-Term and Long-Term coverage.
  • Dental, Vision, 401k, Life Insurance, and AD&D Options
  • Over 15 Paid Holidays - we work hard, but give you that extra time to play hard as well!
  • Competitive Employee and Dependent Scholarship Programs; we take pride in your educational background and look forward to supporting your families' academic goals and endeavors.
  • Meal Benefit at University Café. HANGRY? Never heard of here. Come get your lunch at the café, on us, YUM!
  • University Store Discount amongst other Discount Programs.
  • Positive, open, and transparent Work Environment and culture that includes Kudos Program, Casual Fridays and Select Work Weeks, Employee Wellness Activities, Bring your Pet to Campus, along with Summer and Winter Happiness Events.
  • Employee Training and Development: Essential Skills Modules are scheduled on the job, allowing for learning, working, and implementation.

We do not discriminate on the basis of race, color, religion, national origin, sex, age, or disability. It is our intention that all qualified applicants be given equal opportunity and that selection decisions be based on job-related factors.
UAT does not sponsor foreign visa's. Thank you for your understanding.

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