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Computer Vision Remote Jobs in Missouri (NOW HIRING)

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

What You'll Do * Set the vision and strategy to protect Kohl's associates and company assets ... Basic math and reading skills, legible handwriting, and basic computer operation * Ability to ...

Mainframe Developer (Remote)

Chesterfield, MO ยท Remote

$48.50 - $62.25/hr

Medical / Dental / Vision Insurance - insurance premium assistance provided * Additional Insurance ... Bachelor's degree in Computer Science, Information Technology, or a related field * Over 5 years of ...

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Computer Vision Remote information

What is a Computer Vision Remote job?

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 the Computer Vision Remote position, and why are they important?

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 Missouri? The most popular types of Computer Vision jobs in Missouri are:
What are popular job titles related to Computer Vision Remote jobs in Missouri? For Computer Vision Remote jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Computer Vision Remote jobs? Cities in Missouri with the most Computer Vision Remote job openings:
Infographic showing various Computer Vision Remote job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Intellectual Property (IP) Technical Specialist

Amatriot Group, LLC

Saint Louis, MO โ€ข On-site, Remote

$125K - $175K/yr

Full-time

Posted 11 days ago


Job description

Security Clearance: Active TS/SCI [Required]

Location: St. Louis, Missouri OR Springfield, Virginia

Job Type: Full-Time

Target Salary Range*: $125,000-175,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary


Position Overview

The Amatriot Group is currently seeking an Intellectual Property (IP) Technical Specialist to support work with the National Geospatial-Intelligence Agency. The ideal candidate is a subject matter expert with experience in computer architecture, artificial intelligence, machine learning, deep learning, computer vision, software engineering, and other computer science and computer engineering fields who can assess inventions in these fields for patentability.

The Intellectual Property Technical Specialist will support the NGA Office of Research and Technology Applications and the Office of General Counsel with patent assessments, preparation of patent applications related to inventions, and drafting responses to U.S. Patent and Trademark Office actions.

This position will be performed at NGA offices in either St. Louis, MO, or Springfield, VA. Remote work capabilities are authorized on an as-needed basis.


Key ResponsibilitiesPatent Search and Patentability Assessment
  • Conduct patent searches to assess the novelty and patentability of computer architecture, artificial intelligence, and other computer science and computer engineering inventions.
  • Conduct interviews with inventors to capture all required aspects of technologies submitted for the ORTA to make patenting recommendations.
Patent Application and Prosecution Support
  • Collaborate with inventors and OGC to develop patent prosecution strategy.
  • Work closely with OGC to prepare patent applications, including drafting specifications, drawings, and claims.
  • Ensure technical accuracy of the subject matter in patent applications.
  • Provide technical and legal research and analysis to assist OGC in support of NGA submissions pending before the USPTO.
  • Assist OGC with preparing responses to USPTO actions and docket management.
Documentation and Records Management
  • Ensure procedures are in place to classify and maintain records.
  • Interpret and enforce documentation formatting, standards, policies, and operating procedure requirements.

QualificationsEducation
  • B.S. in Computer Science, Computer Engineering, or closely related field.

Experience
  • 5 years of experience related to the job responsibilities listed above with a Bachelorโ€™s degree in a related field; or
  • 3 years of relevant experience with a Masterโ€™s degree in a related field; or
  • No years of experience with a PhD in a related field.
  • Demonstrated technical expertise in one or more of the following:
    • Computer architecture
    • Artificial intelligence
    • Machine learning
    • Deep learning
    • Computer vision
    • Software engineering
    • Programming
Skills
  • Ability to work independently with minimal guidance.
  • Demonstrated superior writing and analytical skills.
  • Knowledge of the Patent Laws, Manual of Patent Examining Procedure, and USPTO regulations.
Clearance
  • TS/SCI security clearance required.


Preferred Qualifications
  • Candidates located near NGA offices in either St. Louis, MO, or Springfield, VA.
  • USPTO registration preferred.
  • Submissions to technical journals and authoring white papers in computer science, engineering, or related fields.
  • Ability to work in a fast-paced environment with quick turnaround times and minimal supervision.