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Digital Image Processing Jobs in Virginia (NOW HIRING)

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Digital Image Processing information

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$45.1K

$53.7K

$58.5K

How much do digital image processing jobs pay per year?

As of Jul 27, 2026, the average yearly pay for digital image processing in Virginia is $53,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $58,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Digital Image Processing position, and why are they important?

To thrive in Digital Image Processing, a strong background in mathematics, computer science, and image analysis is typically required, often with a bachelor's or advanced degree in a related field. Expertise with programming languages such as Python or MATLAB, experience using image processing libraries (like OpenCV or scikit-image), and familiarity with machine learning tools are important assets. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals excel in collaborative and dynamic settings. These competencies are crucial for developing accurate, efficient solutions to real-world image-related challenges in industries like healthcare, robotics, or multimedia.

Which 5 jobs will survive AI?

Digital image processing roles such as image analysts, computer vision engineers, and quality assurance specialists are likely to persist as they require specialized expertise in interpreting complex visual data and developing algorithms. These jobs often involve creative problem-solving, domain-specific knowledge, and the use of advanced tools like MATLAB or Python, making them less susceptible to automation by AI. Additionally, roles that involve oversight, ethical considerations, and contextual understanding are expected to remain in demand.

What jobs make $3,000 a day?

In digital image processing, high-paying roles such as senior computer vision engineers, AI specialists, or research scientists can earn around $3,000 daily through consulting, project-based work, or in senior positions at large tech companies. These roles typically require advanced skills in programming, machine learning, and specialized software tools, and often involve contract or freelance work with high hourly rates.

What is a Digital Image Processing job?

A Digital Image Processing job involves utilizing algorithms and software to enhance, analyze, and manipulate images for various applications, such as medical imaging, computer vision, and remote sensing. Professionals in this field work with techniques like filtering, segmentation, object recognition, and machine learning to improve image quality and extract meaningful information. They often use programming languages like Python, MATLAB, or C++ and work in industries such as healthcare, robotics, and surveillance.

Is ML a high paying job?

Machine learning (ML) roles, including those related to digital image processing, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but generally, ML professionals are among the higher-paid technology workers.

What are some typical responsibilities of a Digital Image Processing professional on a day-to-day basis?

Professionals in Digital Image Processing are often responsible for designing, testing, and implementing algorithms to enhance, analyze, or extract meaningful information from digital images. Daily tasks may include coding new solutions, pre-processing large image datasets, collaborating with cross-functional teams like data scientists or engineers, and optimizing existing pipelines for improved performance. They may also document their results, experiment with new imaging techniques, and troubleshoot technical issues as they arise. This role blends technical innovation with hands-on problem-solving, and frequently involves working in fast-paced, collaborative environments.

Is image processing a good career?

Digital image processing is a specialized field within computer vision and multimedia, involving techniques to analyze and enhance images using algorithms and software tools. It offers opportunities in industries such as healthcare, entertainment, and security, often requiring skills in programming, mathematics, and familiarity with software like MATLAB or OpenCV. Career prospects are strong with demand for expertise in machine learning and artificial intelligence applied to image data.
What are the most commonly searched types of Digital Image Processing jobs in Virginia? The most popular types of Digital Image Processing jobs in Virginia are:
Digital Image Processing jobs near you
Infographic showing various Digital Image Processing job openings in Virginia as of July 2026, with employment types broken down into 75% Full Time, 13% Part Time, 2% Temporary, and 10% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $53,673 per year, or $25.8 per hour.

Image Scientist

Freedom Technology Solutions Group, LLC

Springfield, VA • On-site

Full-time

Posted 11 days ago

Job description

Job Summary:
Freedom Technology Solutions Group, LLC is seeking an Image Scientist to serve as a technical specialist for research, evaluation, and verification of complex image and video processing systems for geospatial intelligence. The role involves providing expert consultation, problem solving, and mentoring junior scientists while developing and verifying image processing software products and algorithms.
Responsibilities:
• Serve as a technical specialist for research, evaluation and verification of highly complex image and video processing systems for geospatial intelligence sensors, systems, and applications.
• Provide expert-level consultation, problem solving, and verification for all GEOINT quality assessments, studies, and standards.
• Provide detailed recommendations and risk assessments to Government and technical leadership.
• Design, develop, evaluate, and verify the implementation of complex image processing software products, algorithms, and workflows.
• Mentor and guide junior image scientists in the development of criteria for testing algorithm and system’s cognitive performance objectively from an end-user perspective.
• Perform evaluation and testing on simulated and operational data.
Qualifications:
Required:
• Active TS/SCI with the ability to obtain a Poly
• Master's degree/PhD in Imaging Science, Physics, Engineering, Mathematics or quantitative science field and 10 years of experience as a Image Scientist
• Demonstrated knowledge of digital imaging systems principles and practices
• Experience supporting the development, testing, and analysis of image collection systems
• Experience applying engineering standards, principles, theories, concepts and techniques to solve complex problems associated with image product formation from raw sensor and associated metadata
• Experience or working knowledge with advanced photogrammetric techniques and principles
• Experience performing image system simulations to produce realistic test data to support system validation and testing
• Experience or demonstrated ability to develop, assess, and implement Image Quality Equations
• Experience building image processing algorithms
• Experience programming in Matlab and/or Python, C++, or other equivalent programming languages
• Experience analyzing and assessing quality of image data across the full-range of sensor types, sources, and phenomenology’s
Preferred:
• Graduation from and accredited Image Science program at a university or military training program.
• Basic understanding of simulation and modeling techniques or the image creation process.
• Working knowledge of imagery systems to include basic types of PAN, IR, and RADAR.
• Working knowledge of various basic ELTs, Matlab, and mathematics/equations/functions.
• Basic knowledge of sensor types to include airborne, space-borne, and FMV.
• Knowledge of Microsoft Office tools.
• Basic oral and written communication skills.
• Experience with creation of imagery evaluations, image quality studies, new product/sensor initializations, product algorithm assessments, and the development of image quality equations.
• Working knowledge and practical application of modeling components of the image creation path to include sensor, detector, atmospheric, and material properties.
• Experience with imaging systems to include PAN, IR, MSI/HSI, RADAR, and LIDAR, on both space or airborne platforms.
• Simulation and modeling experience and ability to develop algorithm description documentation for software development.
• Familiarity with current GEOINT systems, products and development, as well as exploitation software packages such as all ELTs, AGITK, and other software plug-ins or applications necessary to develop test and verification methodologies.
• Ability to develop and lead any large-scale evaluations to include, but not limited to, image quality studies, new product/sensor initializations, product algorithm assessments, back to operations reviews, and the development of image quality equations (IQEs).
• Full image processing and digital signal processing experience.
• Image chain analysis to include atmospheric modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data to display radiometrically correct values.
• Application of error estimation for thermometric and material identification products.
• Understanding and application of image quality standards such as NIIRS scales and metrics.
• Significant applied knowledge of sensor imaging systems, products, and exploitation processes.
• Strong understanding of the systems engineering lifecycle to include independent testing and data verification.
• Strong written and oral communication skills to include briefing and creation of presentations.
• Self-starter with ability to learn, research, and solve problems with on their own accord.
• Work is highly independent and you may assume a lead role.
Company:
FTSG was founded with the idea of building a company in which IT professionals have the 'Freedom' to be creative and innovative. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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