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Image Jobs in Reston, VA (NOW HIRING)

Babel Street

Image & Computer Vision AI Engineer

Reston, VA · On-site

$119K - $143K/yr

As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street's intelligence applications.

Mondo

Signal/Image Process Engineer

Manassas, VA · On-site

$80 - $100/hr

Apply now: Signal/Image Process Engineer, Onsite - Manassas, VA. Start date is ASAP (late August / early September) for this 6-month Contract-to-Hire position. Job Title: Signal/Image Process ...

IC-CAP LLC

Senior SAR Image Scientist 100-011

Springfield, VA · On-site

$95K - $130K/yr

Senior Synthetic Aperture Radar (SAR) Image Scientist to join a skilled, highly respected and long-standing team supporting product quality mission. This is a unique opportunity to enhance your ...

GRVTY

Imagery Scientist (SAR)- Expert

Falls Church, VA · On-site

Image formation processes * Develop, test, and evaluate: * New algorithms * Exploitation methodologies * Scientific workflows * Automated processing techniques * Utilize advanced processing tools ...

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How much do image jobs pay per week?

As of Jul 24, 2026, the average weekly pay for image in Reston, VA is $2,202.21, according to ZipRecruiter salary data. Most workers in this role earn between $1,621.15 and $2,740.38 per week, depending on experience, location, and employer.

What are some common challenges faced by professionals working in image editing roles, and how can they be addressed?

Professionals in image editing roles often encounter challenges such as tight deadlines, managing large volumes of images, and ensuring consistency in visual style across projects. Keeping up with evolving software tools and client expectations can also be demanding. To address these challenges, it's important to develop efficient workflows, stay updated with industry-standard editing software, and maintain clear communication with team members and clients regarding project requirements and feedback. Being proactive in learning new techniques and organizing files systematically can greatly improve productivity and work quality.

What professions make 200,000 a year without a degree?

In the field of imaging, roles such as commercial or industrial photographers, especially those with specialized skills and a strong portfolio, can reach or exceed $200,000 annually. Additionally, some freelance or entrepreneurial imaging professionals in high-demand niches may achieve this income level through self-employment, advanced technical skills, and a robust client base.

What is a photo job?

A photo job involves taking photographs professionally, which can include roles such as photographer, photo editor, or studio assistant. These jobs often require skills in camera operation, editing software, and understanding of lighting and composition, and may involve working in studios, on location, or for events.

What is the difference between Image vs Photographer?

AspectImagePhotographer
CredentialsNone required, but familiarity with editing tools helpsPhotography degree or certification often preferred
Work EnvironmentUsed in digital media, advertising, and online contentStudio, outdoor, or event settings
Industry UsageRefers to visual content or photosRefers to the professional who creates photos
Search IntentLooking for stock images or visual contentSeeking professional photography services

While 'Image' generally refers to visual content or photos, a 'Photographer' is a professional who creates those images. Understanding this difference helps in finding the right services or resources for visual needs.

Why is Gen Z struggling to get jobs?

Gen Z faces challenges in securing jobs due to high competition, limited work experience, and evolving skill requirements such as digital literacy. Employers often seek candidates with specific skills, certifications, or internships, which can be harder for younger applicants to demonstrate without extensive work history.

What professions make 500,000 a year?

Professions such as senior corporate executives, specialized surgeons, investment bankers, and successful entrepreneurs can earn $500,000 or more annually. These roles often require advanced education, extensive experience, and high-level skills in their respective fields.

What are the key skills and qualifications needed to thrive as an Imaging Technologist, and why are they important?

To thrive as an Imaging Technologist, you need a solid understanding of anatomy, imaging protocols, and radiologic procedures, typically backed by an associate's or bachelor's degree and relevant certification such as ARRT. Familiarity with advanced imaging equipment, Picture Archiving and Communication Systems (PACS), and safety regulations is crucial. Attention to detail, strong communication, and compassion help you effectively interact with patients and ensure accurate results. These skills ensure safe, high-quality diagnostic imaging and support optimal patient care.

What are image specialists?

Image specialists are professionals who work with digital or physical images to enhance, edit, organize, or analyze visual content. Their responsibilities may include retouching photographs, managing image databases, optimizing images for print or web, and ensuring that visual assets meet technical and creative standards. Image specialists often use software like Adobe Photoshop or Lightroom and are employed in industries such as photography, publishing, advertising, and e-commerce.
Image jobs near you
Infographic showing various Image job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $114,515 per year, or $55.1 per hour.
Image Processing Engineer III

Image Processing Engineer III

Quantum Space

Rockville, MD • On-site

Other

Posted 22 days ago

Job description

The Image Processing Engineer III will be responsible for transitioning algorithm prototypes from conceptual design to operational readiness.  This role requires an engineer who can design mathematical models to solve complex tracking and navigation problems under difficult lighting and environmental conditions. 

Beyond core development, this engineer will define and execute validation protocols to evaluate alternative or competitor algorithms against mission requirements. Additionally, the role bridges the gap between software and hardware by evaluating the feasibility of various sensor and optical systems to ensure they can deliver the input fidelity necessary for algorithmic success.

Core Responsibilities

  • Algorithm Development & Engineering: Advance and mature image processing and computer vision prototypes into production-ready software solutions. 
  • Multi-Feature & Target Tracking: Design and implement robust estimation logic to track and localize multiple visual features simultaneously within dynamic or challenging environments. 
  • Statistical Error & Uncertainty Analysis: Develop mathematical models to estimate data confidence, handle measurement uncertainties, and provide reliable covariance metrics for downstream navigation or data fusion filters. 
  • Data Filtering & Optimization: Implement robust outlier rejection, noise filtering, and subpixel refinement techniques to ensure high data precision and system stability. 
  • Trade Studies & Benchmarking: Establish rigorous validation frameworks, simulation scenarios, and benchmarks to objectively evaluate and compare the performance of alternative algorithms. 
  • Hardware-Software Integration: Analyze and simulate the impacts of sensor and optical hardware characteristics (e.g., resolution, lens distortions, lighting sensitivity) on algorithm performance to guide system-level design choices. 
  • Interface & API Design: Define, maintain, and implement clear software interfaces, data contracts, and schema-validated API structures for seamless integration into larger architectures. 

Minimum Experience:

  • 5+ years of professional, hands-on experience in computer vision, image processing, and algorithm development. 
  • An advanced degree (e.g., a Ph.D. with substantial, relevant dissertation research) may count toward the minimum years of experience. 

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