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Computer Vision Remote Jobs in Lawrence, KS (NOW HIRING)

NinjaOne

Product Designer

Kansas, KS · Remote

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Bachelor's degree in Computer Science, Information Technology, Graphic/Software Design, or Fine Art ...

New

NinjaOne

Senior Software Engineer, Java

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Bachelor's degree in computer science, Computer Engineering, Information Technology, or equivalent ...

NinjaOne

Patching | Senior Software Engineer, Java

Kansas, KS · On-site +1

$110K - $145K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

GRADE POTENTIAL, LLC

CUSTOMER SERVICE ASSOCIATE

Topeka, KS · Remote

$35K - $55K/yr

... remote role requires regular use of a computer and phone for extended periods. The position ... BenefitsHealth, dental & vision insurance with a $125/mo company contributionCompany-sponsored life ...

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All JobsComputer Vision JobsComputer Vision Remote JobsComputer Vision Remote Jobs in Lawrence, KS

Computer Vision Remote information

See Lawrence, KS salary details

$11

$19

$29

How much do computer vision remote jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for computer vision remote in Lawrence, KS is $19.66, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $21.97 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 popular job titles related to Computer Vision Remote jobs in Lawrence, KS?

For Computer Vision Remote jobs in Lawrence, KS, the most frequently searched job titles are:

What job categories do people searching Computer Vision Remote jobs in Lawrence, KS look for?

The top searched job categories for Computer Vision Remote jobs in Lawrence, KS are:

What cities near Lawrence, KS are hiring for Computer Vision Remote jobs?

Cities near Lawrence, KS with the most Computer Vision Remote job openings:

Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Lawrence, KS as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $40,902 per year, or $19.7 per hour.

Tier 2 Technical Solutions Consultant - remote

Ascent Pro Support

Kansas City, KS • On-site, Remote

$30 - $35/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Ascent Professional Staffing supports a Nashville-based Fortune 500 company. We're hiring a Tier 2 Technical Solutions Consultant to provide technical support and training for the company's Mobility Solutions platform and supporting systems to internal and external users across the U.S. and Canada. The consultant serves as a point of contact for Tier 2 support issues - troubleshooting via phone, email, and video conference, provisioning user access, and guiding users through the platform. This is a long-term client engagement, offered as full-time employment with Ascent.
We are authorized to hire employees in the following states: Arkansas, Indiana, Iowa, Kansas, Missouri, Nebraska, Oklahoma, Tennessee, Texas, and Wisconsin.
Job duties include, but are not limited to:
  • Provide excellent customer service to internal and external users across the U.S. and Canada.
  • Provide access for internal and external users to the platform and supporting systems.
  • Call, email, and join video conference calls with customers to help troubleshoot issues.
  • Provide technical support including password resets and browser clearing.
  • Provide users with training on basic functionality of the systems.
  • Follow established User Management and Incident Management Processes.
  • Properly escalate and track unresolved issues, following the established Problem Management Process.
  • Follow up with customers, provide feedback, and persist to a satisfactory resolution.
  • Ensure proper recording, documentation, and closure of support issues.
  • Document and escalate feedback and suggestions using the established process.
  • Assist in the development and maintenance of technology-related guides, manuals, instructions, and training documentation.

Requirements:
  • 2 years' experience in the tech support field.
  • Excellent verbal and written communication skills.
  • Strong analytical, diagnostic, problem-solving, time-management, and organizational skills.
  • Proficient in Microsoft Outlook, Excel, PowerPoint, and Word; intermediate to advanced skills.
  • Able to work in a fast-paced, deadline-oriented environment.
  • Resourceful; able to work effectively with minimal supervision.
  • Able to follow issues all the way through resolution.
  • Able to collaborate in a team environment to complete required documentation projects.
  • Able to gracefully receive feedback.

Applicants must:
  • Submit a professional resumé.
  • Complete pre-screening interview via Microsoft Teams.
  • Attend an interview via Microsoft Teams with the client.

Work Environment:
  • Fast-paced, remote (work-from-home) position.
  • Able to sit and work at a computer for 8 hours a day / 40 hours a week.
  • Must live in one of the states listed above (Ascent is not currently authorized to hire in other states).
  • Training for this position is conducted remotely.

This is a full-time W-2 position with Ascent Professional Staffing, supporting a long-term client engagement. Employees receive the following benefits:
  • Wellmark Blue Cross Blue Shield health, dental, and vision coverage; Ascent pays half the employee premium.
  • Nine paid holidays per year.
  • 144 hours of paid time off per year, covering sick, vacation, and personal time.
  • 401(k) available after one year of service.
  • Weekly paycheck with direct deposit.

*Job offer is contingent upon successful completion of a background check and drug screen.

Apply