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Image Processing Jobs in Virginia (NOW HIRING)

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 ...

Image processing and Digital Signal processing experience * Image chain analysis to include sensor modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data

Image processing and Digital Signal processing experience * Image chain analysis to include sensor modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data

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Image Processing information

See Virginia salary details

$5

$62

$89

How much do image processing jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for image processing in Virginia is $62.05, according to ZipRecruiter salary data. Most workers in this role earn between $51.49 and $66.25 per hour, depending on experience, location, and employer.

What are the typical daily tasks of an Image Processing specialist?

An Image Processing specialist typically spends their day developing and optimizing algorithms for tasks such as image enhancement, feature extraction, segmentation, and object recognition. You may work closely with a multidisciplinary team that includes software engineers, data scientists, and domain experts to integrate your solutions into larger systems or products. Daily responsibilities often involve coding, testing, validating results, and documenting methodologies, as well as troubleshooting performance issues. Collaboration and frequent feedback sessions are common, as many projects are iterative and benefit from collective expertise. This role offers a dynamic and intellectually stimulating work environment with the potential for impactful innovation.

What is an Image Processing job?

An Image Processing job involves analyzing, enhancing, and manipulating digital images using algorithms and software. Professionals in this field work with techniques such as filtering, feature extraction, and pattern recognition to improve image quality or extract useful information. They often use programming languages like Python and libraries such as OpenCV or MATLAB to develop solutions for applications in medical imaging, computer vision, and automation.

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

To thrive in Image Processing, you need a solid background in computer vision, signal processing, mathematics, and often a relevant degree in computer science, engineering, or a related field. Proficiency with programming languages such as Python or MATLAB, experience with libraries like OpenCV, and familiarity with machine learning frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help set professionals apart. These competencies are crucial for developing, implementing, and refining algorithms that extract, analyze, and interpret information from visual data in various industries.

What are the most commonly searched types of Image Processing jobs in Virginia? The most popular types of Image Processing jobs in Virginia are:
What are popular job titles related to Image Processing jobs in Virginia? For Image Processing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Image Processing jobs in Virginia look for? The top searched job categories for Image Processing jobs in Virginia are:
Infographic showing various Image Processing job openings in Virginia as of June 2026, with employment types broken down into 86% Full Time, 6% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $129,054 per year, or $62 per hour.

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Posted 4 days ago


Job description

Freedom Technology Solutions Group is seeking an Image Scientist. The  Image Scientist (IS) will 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. The IS will provide expert-level consultation, problem solving, and verification for all GEOINT quality assessments, studies, and standards. The IS will provide detailed recommendations and risk assessments to Government and technical leadership. The IS will design, develop, evaluate, and verify the implementation of complex image processing software products, algorithms, and workflows. The IS will 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, as well as perform evaluation and testing on simulated and operational data.

Required Qualifications:

  • 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

Junior Level:

  • 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.

Mid Level:

All the junior level experience plus:

  • 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.
  • Typically reports to a manager, work is independent yet collaborative.

Senior Level:

All the junior and mid Level experience plus:

  • 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.