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Remote Image Processing Jobs (NOW HIRING)

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data processing, algorithm development, image exploitation, and applied remote sensing science. This ...

Circana

VP II, AI Innovation - OCR (Level 21)

This role will focus on all aspects of Image processing, extraction of data and classification of ... Remote United States The below range reflects the range of possible compensation for this role at ...

Thinkfind

Image Annotator

Fort Worth, TX · Remote

$22.90/hr

This is an excellent long-term, 100% remote contract opportunity for a highly detail-oriented ... Team members use data-driven processes to locate and review images containing defects of interest ...

Umbra

Senior Radar Systems Engineer

Reston, VA · Remote

Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms ... Experience in writing algorithms specifically for SAR image processing. * Bachelor's degree or ...

Umbra

Senior Radar Systems Engineer

Arlington, VA · Remote

Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms ... Experience in writing algorithms specifically for SAR image processing. * Bachelor's degree or ...

Umbra

Senior Radar Systems Engineer

Santa Barbara, CA · On-site +1

$116K - $159K/yr

Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms ... Experience in writing algorithms specifically for SAR image processing. * Bachelor's degree or ...

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Remote Image Processing information

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How much do remote image processing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote image processing 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 remote image processing?

Remote image processing refers to analyzing and manipulating digital images from a distance, typically using cloud-based or networked systems. Professionals in this field use specialized software and algorithms to enhance, interpret, or extract information from images without being physically present at the image acquisition site. This is commonly used in fields like satellite imaging, medical diagnostics, and security surveillance. Working remotely allows image processing experts to collaborate globally and access large datasets stored on remote servers.

What is the difference between Remote Image Processing vs Remote Data Entry?

AspectRemote Image ProcessingRemote Data Entry
Required SkillsImage editing, software proficiency, attention to detailTyping speed, accuracy, basic computer skills
Work EnvironmentDesign software, image platforms, cloud toolsSpreadsheets, databases, online forms
Industry UsagePhotography, media, e-commerceAdministration, research, healthcare

Remote Image Processing involves editing and managing visual content, requiring skills in image software and attention to detail. Remote Data Entry focuses on inputting information accurately into digital systems, emphasizing typing skills and data accuracy. Both roles are performed remotely, often within similar industries, but serve different functions—visual content management versus information management.

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

To thrive as a Remote Image Processing Specialist, you need a strong background in computer vision, image analysis, and programming (often with degrees in computer science, electrical engineering, or related fields). Familiarity with tools like MATLAB, Python libraries (such as OpenCV or scikit-image), and cloud-based image processing platforms is typically required. Attention to detail, problem-solving abilities, and effective remote communication are valuable soft skills in this role. These competencies are crucial for accurately analyzing visual data, automating processes, and collaborating efficiently across distributed teams.

What are the main collaboration tools and practices used by remote image processing teams?

Remote image processing teams typically rely on a combination of cloud-based storage solutions, communication platforms like Slack or Microsoft Teams, and collaborative coding environments such as GitHub or GitLab. These tools enable seamless sharing of large datasets, version control of processing scripts, and real-time feedback on project progress. Regular virtual meetings and clear documentation are also essential to ensure alignment and productivity across distributed team members. Familiarity with these collaboration practices can help new hires integrate smoothly and contribute effectively from day one.
More about Remote Image Processing jobs
What cities are hiring for Remote Image Processing jobs? Cities with the most Remote Image Processing job openings:
What are the most commonly searched types of Image Processing jobs? The most popular types of Image Processing jobs are:
What states have the most Remote Image Processing jobs? States with the most job openings for Remote Image Processing jobs include:
What job categories do people searching Remote Image Processing jobs look for? The top searched job categories for Remote Image Processing jobs are:
Remote Image Processing jobs near you
Infographic showing various Remote Image Processing job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 15% 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.

Imaging Consultant

Albin Engineering Services, Inc.

Remote

Other

Posted 5 days ago

Job description

Albin Engineering Services, Inc. (www.aesi.com) is looking for a Consultant - Software Architect, Image Analysis & AI/ML for one of our premier clients. This is a 1 year consulting position that will be an as-needed basis. It will be approximately 10-20 hours for the first quarter and 10 hours a week after. This can be a remote position.
We are seeking a highly skilled Consultant with deep expertise in software architecture, image analysis, image pattern recognition, and AI/ML for real-time image augmentation. This is a strategic role where you will provide technical leadership and guidance to design and implement cutting-edge solutions that leverage artificial intelligence and machine learning for advanced image processing applications. You will work on real-time systems, providing innovative solutions.
Key Responsibilities:

  • Software Architecture & Design:
    • Lead the design and architecture of software solutions focused on image analysis, ensuring scalability, performance, and integration with existing systems.
    • Collaborate with cross-functional teams to align architecture with project goals and business objectives.
    • Define and document architectural frameworks and best practices for image processing systems.
  • Image Pattern Recognition:
    • Develop and implement algorithms for identifying and analyzing patterns in images, including object recognition, feature extraction, and classification.
    • Apply computer vision techniques to solve complex image-related challenges across various domains.
  • AI/ML for Image Analysis:
    • Design and develop AI/ML models tailored for image processing, utilizing deep learning, computer vision, and neural networks (such as CNNs, RNNs, etc.).
    • Train and optimize models for tasks such as image classification, segmentation, and anomaly detection.
    • Stay updated on emerging AI/ML techniques and apply them to improve image analysis workflows.
  • Real-Time Image Augmentation:
    • Develop solutions for real-time image augmentation, enabling dynamic, interactive, and high-performance manipulation of image data.
    • Work on low-latency, high-throughput image processing pipelines to support real-time applications such as augmented reality (AR), autonomous systems, and video analytics.
    • Implement techniques to enhance image quality, modify image attributes, and simulate real-time environments.
  • Consulting & Strategy:
    • Provide expert advice and recommendations to internal teams and external clients on best practices for image analysis and AI/ML integration.
    • Conduct technical assessments, feasibility studies, and solution evaluations to ensure alignment with business goals.
    • Support the development of technical documentation, including architectural blueprints, system specifications, and user guides.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. in a relevant area is a plus.
  • 7+ years of experience in software architecture, with a focus on image analysis, pattern recognition, and AI/ML.
  • Proven experience in developing real-time image processing systems.
  • Strong expertise in deep learning, computer vision, and image processing algorithms.
  • Hands-on experience with image analysis frameworks such as OpenCV, TensorFlow, PyTorch, or similar libraries.
  • Advanced knowledge of machine learning frameworks and libraries (TensorFlow, Keras, PyTorch).
  • Expertise in real-time systems and performance optimization.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Experience with cloud platforms and deployment tools (AWS, Azure, GCP).
  • Familiarity with imaging hardware and edge computing for real-time image augmentation is a plus.
  • Excellent problem-solving skills and ability to think critically and analytically.
  • Strong communication skills, both written and verbal, with the ability to present complex technical concepts to non-technical stakeholders.
  • Ability to work independently, manage multiple projects, and collaborate in a fast-paced environment.
Preferred Qualifications:
  • Familiarity with data visualization and reporting tools for image analysis.
  • Contributions to open-source image processing or AI/ML projects.

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