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Computer Vision Remote Jobs in Denver, CO (NOW HIRING)

CACI

Staff Computer Vision AI/ML Engineer

Aurora, CO · Remote

As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for ...

CACI

Staff Computer Vision AI/ML Engineer

Aurora, CO · Remote

As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for ...

Booz Allen Hamilton, Inc.

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246464 Location: Aurora,CO,US Share job via: Share Computer Scientist, Mid The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the ...

Woolpert

Remote Sensing Technician

Denver, CO · On-site +1

Understanding of computer hardware. * Understanding of Geographic Information Systems. * U.S ... Health, life, vision, and dental insurance: Cover all your medical bases. * Paid sick time ...

Camesi Agency

Remote Insurance Agent

Denver, CO · Remote

$80K - $120K/yr

Reliable computer, high-speed internet connection, and a quiet workspace for client calls. What We ... Benefits package including health, dental, vision, and life insurance; employee referral program.

Hire Connections

Be Seen First

Remote Customer Service Representative

Denver, CO · Remote

$20/hr

... Vision, and 401(k) ✅ Gain valuable healthcare and customer service experience ✅ Join a ... Comfortable navigating multiple computer systems simultaneously * Ability to remain professional ...

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Computer Vision Remote information

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How much do computer vision remote jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for computer vision remote in Denver, CO is $21.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $23.99 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 the most commonly searched types of Computer Vision jobs in Denver, CO?

The most popular types of Computer Vision jobs in Denver, CO are:

What are popular job titles related to Computer Vision Remote jobs in Denver, CO?

For Computer Vision Remote jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Computer Vision Remote jobs in Denver, CO look for?

The top searched job categories for Computer Vision Remote jobs in Denver, CO are:

What cities near Denver, CO are hiring for Computer Vision Remote jobs?

Cities near Denver, CO with the most Computer Vision Remote job openings:

Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $44,641 per year, or $21.5 per hour.

Staff Computer Vision AI/ML Engineer

Vets Hired

Aurora, CO • Remote

Full-time

Posted 5 days ago

Key responsibilities

  • Lead the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications.

  • Analyze and preprocess large remote sensing datasets, and train, optimize, and deploy deep-learning computer vision models.

  • Guide and mentor junior engineers, researchers, and software developers, and collaborate with program management to define project scope, schedules, and milestones.

Job description

Job Summary

The Staff Computer Vision AI/ML Engineer leads the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications. The role focuses on Automatic Target Recognition (ATR), multimodal data fusion, deep learning, image processing, and cloud-based deployment. This position also provides technical leadership by guiding researchers and software developers and helping mature AI/ML capabilities from prototype through operational deployment.

Key Responsibilities
  • Lead a team of developers and researchers implementing AI/ML algorithms for computer vision and remote sensing.
  • Analyze and preprocess large remote sensing datasets.
  • Research supervised and unsupervised Automatic Target Recognition (ATR) solutions.
  • Research multimodal data fusion for ATR across diverse data-collection scenarios.
  • Train, optimize, and deploy deep-learning computer vision models.
  • Apply AI/ML techniques to solve computer vision problems across multiple domains.
  • Evaluate emerging research and publications related to AI/ML and computer vision.
  • Translate complex technical concepts into understandable information for government customers.
  • Apply AI/ML research to defense and commercial applications.
  • Guide and mentor junior engineers, researchers, and software developers.
  • Collaborate with program management to define project scope, schedules, and milestones.
  • Select appropriate AI/ML approaches and iterate or pivot strategies to improve performance.
  • Develop technical documentation, code documentation, capability descriptions, and user guides.
  • Support the development and growth of AI/ML technical capabilities and strategy.
Required Qualifications
  • Active TS/SCI security clearance.
  • Bachelor's degree in Data Science, AI/ML, Computer Science, or a related field.
  • 10+ years of professional experience, preferably in software development or data science.
  • 5+ years of experience developing and training AI/ML models.
  • Experience leading interdisciplinary teams of researchers and software developers.
  • Experience working with program managers to define project scope, schedules, and milestones.
  • Experience selecting, evaluating, and improving AI/ML approaches.
  • Strong Python programming experience.
  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn, scikit-image, or OpenCV.
  • Experience developing convolutional or transformer-based computer vision models.
  • Strong technical communication and documentation skills.
  • Ability to prepare and present technical reports to engineering teams and customers.
Desired Qualifications
  • MS or PhD in Machine Learning, Computer Science, Computer Vision, Mathematics, or a related field.
  • Experience with Self-Supervised Learning (SSL), DINO, knowledge distillation, or BYOL.
  • Experience with image segmentation, super resolution, image denoising, image restoration, and Multi-INT fusion.
  • Experience with Graph Convolutional Networks (GCNs).
  • Experience with SAR, EO, or OPIR image-processing chains.
  • Experience with overhead imagery datasets such as xView, SpaceNet, MSTAR, HRSID, DOTA, and similar datasets.
  • Familiarity with AWS services such as EC2, S3, and Lambda.
  • Experience with code, data, and model version-control processes.
  • Experience with Linux.
  • Experience with tracking, fusion, and pattern-of-life algorithms.
  • Experience with application deployment, virtualization, and containerization.
  • Experience supporting proposal development and writing.
  • Active TS/SCI clearance with Polygraph.