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Digital Image Processing Jobs in Seattle, WA (NOW HIRING)

Robert Half

Digital Asset Manager

Seattle, WA · On-site

$55 - $62/hr

Solid understanding of metadata tagging, taxonomy structures, and digital image or media asset classification. * Experience identifying manual process gaps and building practical automation or ...

Adobe, Inc.

Research Scientist/Engineer

Seattle, WA · On-site

Our Company Changing the world through digital experiences is what Adobe's all about. We give ... and image processing. Strong preference will be given to candidates with experience in light ...

Adobe

Research Scientist/Engineer

Seattle, WA · On-site

Our Company Changing the world through digital experiences is what Adobe's all about. We give ... and image processing. Strong preference will be given to candidates with experience in light ...

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All JobsDigital Image Processing JobsDigital Image Processing Jobs in Seattle, WA

Digital Image Processing information

See Seattle, WA salary details

$51.8K

$61.6K

$67.1K

How much do digital image processing jobs pay per year?

As of Sep 6, 2026, the average yearly pay for digital image processing in Seattle, WA is $61,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $67,100.00 per year, depending on experience, location, and employer.

What is digital image processing?

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.

What does a digital image processing professional do?

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.

What are the key skills and qualifications needed for digital image processing?

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.

Digital Image Processing jobs near you
Infographic showing various Digital Image Processing job openings in Seattle, WA as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $61,610 per year, or $29.6 per hour.

Digital Asset Manager

Robert Half

Seattle, WA • On-site

$55 - $62/hr

Temporary

Posted 17 days ago

Job description

We are looking for a Digital Asset Manager to support large-scale content operations across brand, campaign, design, and studio initiatives in Seattle, Washington. This Long-term Contract position is ideal for someone who thrives in a hands-on environment, managing high asset volumes, improving metadata quality, and creating efficient processes within a digital asset management platform. The role focuses on scaling asset operations through practical execution, smart use of data, and continuous process improvement across multiple content programs and regions.
Responsibilities:
• Manage day-to-day asset activity within Orange Logic, including bulk uploads, metadata updates, asset relocation, and cleanup of large content libraries.
• Analyze reports, exports, and asset data to identify priorities, organize remediation efforts, and confirm accuracy after updates are completed.
• Bring legacy and backlog content into alignment with current metadata and library standards by creating consistent methods for each type of remediation work.
• Oversee high-volume asset intake and metadata imports, troubleshoot mapping issues, and resolve exceptions tied to vendor or system-delivered files.
• Turn repetitive manual tasks into scalable workflows by using templates, saved views, bulk tools, and platform-based automation features.
• Configure and refine automated processes in Orange Logic in collaboration with workflow and integration partners to support long-term operational efficiency.
• Evaluate AI-driven capabilities such as tagging, metadata generation, and content analysis at scale, documenting results and highlighting improvement opportunities.
• Restructure folders, collections, and taxonomy models to improve findability, support growth across regions, and maintain a logical library framework.
• Create clear documentation for operational procedures, metadata practices, and platform usage so that repeatable processes can be applied consistently across teams.• Proven experience working in digital asset management, with strong knowledge of asset libraries, metadata practices, and content organization.
• Hands-on experience using DAM platforms such as Orange Logic to perform bulk asset operations and platform configuration.
• Ability to work with large data sets, reports, and exports to plan work, validate results, and manage content at scale.
• Solid understanding of metadata tagging, taxonomy structures, and digital image or media asset classification.
• Experience identifying manual process gaps and building practical automation or workflow improvements to reduce repeated effort.
• Comfort working in evolving environments where priorities may not be fully defined and operational standards are still being established.
• Familiarity with AI-enabled tools or platform features used for tagging, metadata generation, reporting, or content analysis.
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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948

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