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Remote Image Processing Engineer Jobs (NOW HIRING)

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Senior Scientist - Radar Signal Processing

Arlington, VA · On-site +1

$139K - $170K/yr

... Engineer to develop advanced sensing concepts utilizing adaptive radar signal processing, resource ... Develop system concepts and signal processing algorithms for remote sensing * Work as part of a ...

New

Maxar

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

Design, develop, and optimize computer vision and image processing algorithms. * Apply advanced ... Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... None If filled as Research and Development Engineer - Signal Processing (ARL) - Intermediate ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... None If filled as Research and Development Engineer - Signal Processing (ARL) - Senior Professional ...

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Remote Image Processing Engineer information

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How much do remote image processing engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote image processing engineer in the United States is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.83 per hour, depending on experience, location, and employer.

What is a remote image processing engineer?

Remote Image Processing Engineers are professionals who design, develop, and implement algorithms and software to analyze, enhance, and manipulate digital images, all while working from a remote location. They often use programming languages like Python, C++, or MATLAB and leverage libraries such as OpenCV or TensorFlow. Their work may involve tasks like object detection, image classification, or medical image analysis. These engineers collaborate with cross-functional teams and ensure that image data is processed efficiently and accurately, often for applications in fields like healthcare, robotics, or entertainment.

What are the key skills and qualifications needed to thrive as a remote image processing engineer?

To thrive as a Remote Image Processing Engineer, you need a strong background in computer vision, image analysis, and programming languages such as Python or C++, often supported by a degree in computer science or a related field. Familiarity with libraries and frameworks like OpenCV, TensorFlow, and MATLAB, along with experience using version control systems like Git, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help set candidates apart. These skills are crucial for developing robust image processing solutions, collaborating efficiently with distributed teams, and meeting project goals in a remote work environment.

How does a remote image processing engineer typically collaborate with cross-functional teams while working offsite?

Remote Image Processing Engineers often collaborate with data scientists, software developers, and product managers through virtual meetings, code review platforms, and shared documentation. Effective communication and clear documentation are crucial to ensure alignment on project goals, processing algorithms, and integration tasks. Most teams utilize agile methodologies and tools like Slack, Jira, and GitHub to coordinate work and provide timely feedback, making it essential for remote engineers to be proactive and responsive. This collaborative structure helps maintain project momentum despite geographic separation.

What is the difference between Remote Image Processing Engineer vs Remote Computer Vision Engineer?

AspectRemote Image Processing EngineerRemote Computer Vision Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with image processing librariesBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with computer vision frameworks
Work EnvironmentRemote, often in tech or AI companies focusing on image analysisRemote, typically in AI, robotics, or autonomous systems industries
Employer & Industry UsageTech companies, startups, research labs working on image enhancement, medical imagingTech firms, autonomous vehicle companies, surveillance, robotics

Remote Image Processing Engineers focus on developing algorithms for analyzing and enhancing images, while Remote Computer Vision Engineers work on enabling machines to interpret visual data. Both roles require similar technical skills and often overlap, but the Computer Vision role emphasizes understanding and modeling visual information for AI applications.

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Remote Image Processing Engineer jobs near you
Infographic showing various Remote Image Processing Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 9 days ago

Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).