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Computer Vision Remote Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

The environment is remote-first, flexible, and driven by innovation, giving you the autonomy to ... Design and improve geometric computer vision solutions such as camera calibration, homography ...

Jobgether

$158K/yr

Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related ... Fully remote work environment with global collaboration opportunities. * Exposure to large-scale AI ...

Xcellent Technology

Database Engineer - Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Bachelor's degree in Computer Science, Information Technology * Or at least 4 years of relevant ... Customizable healthcare, dental, and vision coverage. * Paid time off (PTO), 11 federal holidays ...

Alphapointe

Teleservices Representative

Kansas City, MO · Remote

$15 - $19.50/hr

Alphapointe is a non-profit agency whose mission is to empower people with vision loss to achieve ... Working at a computer * Wearing a headset Remote Work and Technology Requirements Remote Workspace:

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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 job categories do people searching Computer Vision Remote jobs in Missouri look for? The top searched job categories for Computer Vision Remote jobs in Missouri are:
What cities in Missouri are hiring for Computer Vision Remote jobs? Cities in Missouri with the most Computer Vision Remote job openings:
Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Missouri as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 37% Physical, 4% Hybrid, and 59% Remote job distribution.

Senior Applied Computer Vision Engineer

Jobgether

Remote

$80K - $110K/yr

Full-time

PTO

Posted 4 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Applied Computer Vision Engineer based in Netherlands.

Join a highly technical engineering team focused on transforming sports video into actionable insights through advanced computer vision and machine learning. In this role, you will develop, optimize, and scale production-grade vision systems capable of handling complex real-world video environments. You'll work across the full lifecycle of computer vision solutions, from experimentation and model development to deployment and continuous improvement. This position offers the opportunity to solve challenging problems involving object detection, tracking, camera calibration, and video analytics while collaborating with cross-functional engineering teams. The environment is remote-first, flexible, and driven by innovation, giving you the autonomy to lead technical initiatives with meaningful impact.

Accountabilities
  • Develop, enhance, and maintain production-ready computer vision models for sports video analytics, including player and ball detection, tracking, event recognition, and identity association.
  • Design and improve geometric computer vision solutions such as camera calibration, homography estimation, field registration, and coordinate mapping.
  • Evaluate existing computer vision pipelines, identify performance bottlenecks, analyze failure modes, and implement practical improvements to increase accuracy, scalability, and robustness.
  • Adapt machine learning models and vision pipelines to support new sports, leagues, stadiums, camera configurations, and varying video quality conditions.
  • Design and execute experiments covering dataset creation, augmentation, model training, fine-tuning, evaluation, and production readiness.
  • Collaborate with data, software, platform, and DevOps teams to deploy scalable machine learning solutions into production environments while improving inference performance, monitoring, and operational reliability.
  • Define evaluation metrics, testing strategies, and quality assurance processes to ensure consistent model performance over time.
  • Lead technical initiatives from early research and prototyping through deployment, communicating technical decisions and trade-offs effectively across engineering and stakeholder teams.
Requirements
  • Extensive experience building, deploying, and improving production-grade computer vision systems.
  • Strong proficiency in Python and modern deep learning frameworks such as PyTorch.
  • Hands-on expertise in video-based computer vision, including object detection, multi-object tracking, event recognition, identity association, or video analytics.
  • Solid understanding of geometric computer vision concepts including camera calibration, homography estimation, projective geometry, and mapping image coordinates to real-world environments.
  • Experience improving tracking systems in challenging scenarios involving occlusions, noisy detections, identity preservation, and object interactions.
  • Demonstrated ability to evaluate model performance, identify weaknesses, and implement effective optimization strategies.
  • Experience adapting models to diverse real-world environments using techniques such as transfer learning, domain adaptation, data augmentation, and fine-tuning.
  • Strong software engineering practices with the ability to write clean, maintainable, production-quality code.
  • Ability to work independently, prioritize multiple initiatives, and drive projects through completion.
  • Excellent communication and collaboration skills within cross-functional and client-facing environments.
  • Experience in sports analytics, broadcast video, multi-camera systems, GPU-accelerated video processing, OCR, MLOps, backend systems, cloud infrastructure, or technical leadership is considered an advantage.
Benefits
  • Competitive salary based on experience.
  • Comprehensive benefits package including paid vacation and sick leave.
  • Fully remote position for professionals residing in Europe.
  • Flexible working hours with a strong focus on work-life balance.
  • Home office equipment allowance and the option to use a coworking space when preferred.
  • No business travel required.
  • Opportunity to work alongside highly experienced international engineering professionals.
  • Collaborative, fast-paced environment with excellent opportunities for technical growth and career development.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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