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Image Reviewer Jobs in Spring, TX (NOW HIRING)

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Image-guided computational modeling ("digital twins") to predict and optimize cancer (especially ... require routine reviews and screening. The ability to satisfy and maintain all requirements ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Image-guided computational modeling ("digital twins") to predict and optimize cancer (especially ... require routine reviews and screening The ability to satisfy and maintain all requirements ...

Prenuvo

Senior MRI Technologist

Houston, TX · On-site

Review requisitions to ensure documentation is complete, accurate, and properly uploaded. * Perform image post-processing, transfer images to PACS, and verify all post-processing steps are completed.

Doist

Senior MRI Technologist

Houston, TX · On-site

$110 - $125/hr

Review requisitions to ensure documentation is complete, accurate, and properly uploaded. Perform image post-processing, transfer images to PACS, and verify all post-processing steps are completed.

Prenuvo

Senior MRI Technologist

Houston, TX · On-site

Review requisitions to ensure documentation is complete, accurate, and properly uploaded. * Perform image post-processing, transfer images to PACS, and verify all post-processing steps are completed.

Prenuvo

Senior MRI Technologist

Houston, TX

Review requisitions to ensure documentation is complete, accurate, and properly uploaded. * Perform image post-processing, transfer images to PACS, and verify all post-processing steps are completed.

Prenuvo

Senior MRI Technologist

Houston, TX · On-site

Review requisitions to ensure documentation is complete, accurate, and properly uploaded. * Perform image post-processing, transfer images to PACS, and verify all post-processing steps are completed.

Sage Veterinary Imaging

Imaging Director (DVM)

Spring, TX · On-site

$150 - $190/hr

Serve as the attending veterinarian for patients undergoing imaging, diagnostic procedures, and image-guided therapies. * Perform complete physical examinations as indicated. * Review patient ...

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How much do image reviewer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for image reviewer in Spring, TX is $26.59, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $32.50 per hour, depending on experience, location, and employer.

What is an image reviewer?

An Image Reviewer is responsible for evaluating and approving images based on specific guidelines and quality standards. They assess factors like composition, lighting, resolution, and copyright compliance to determine if an image meets the required criteria for publication or distribution. Image Reviewers typically work for stock photo agencies, media companies, or online platforms that rely on visual content. Attention to detail and a strong understanding of photography principles are essential for success in this role.

What does an image reviewer do?

A typical day for an Image Reviewer involves evaluating large volumes of images to ensure they meet specific quality, content, and compliance standards. You might collaborate with photographers, content creators, or editorial teams to address flagged issues or provide feedback for improvements. Expect to use specialized software to categorize, approve, or reject images and document your decisions according to company guidelines. The work is detail-oriented and often deadline-driven, requiring both independence and teamwork to maintain consistent quality across all reviewed content.

What are the key skills and qualifications needed to thrive as an image reviewer?

To excel as an Image Reviewer, strong attention to detail, visual analysis skills, and a basic understanding of image standards or guidelines are essential. Familiarity with digital asset management systems and image editing tools like Adobe Photoshop or specialized review platforms is often required. Exceptional communication, consistency, and time management skills set top performers apart in this role. These competencies ensure accurate and efficient evaluation of images, maintaining quality standards within fast-paced workflows.

What are popular job titles related to Image Reviewer jobs in Spring, TX?

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Image Reviewer jobs near you
Infographic showing various Image Reviewer job openings in Spring, TX as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $55,315 per year, or $26.6 per hour.

Postdoc Fellow - Imaging Physics

MD Anderson

Houston, TX

$46K - $63K/yr

Full-time

Re-posted yesterday

MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

14th of 891 rated healthcare providers

Job description

A postdoctoral fellowship position is available in the Department of Imaging Physics in the laboratory of Chengyue Wu, PhD. Dr. Chengyue Wu's research interests focus on computational precision oncology, especially integrating computational/mathematical approaches with emerging biomedical imaging techniques to improve the diagnosis, prognosis, and treatment of human cancers. Dr. Wu has extensive experience on developing and validating image processing methods and image-guided models for investigating tumor growth and treatment response, tumor-associated vasculature and microenvironment, and drug delivery. The lab is in a highly collaborative research environment with access to world-class resources, expertise, and data. Current projects seeking postdoctoral fellows include:
Image-guided computational modeling ("digital twins") to predict and optimize cancer (especially breast cancer) treatment response on a patient-specific basis.
Development of deep learning models, longitudinal image analysis, and multi-modality data integration to improve breast cancer early detection.
LEARNING OBJECTIVES
This postdoctoral fellow will engage in highly productive interdisciplinary research projects in image-guided precision oncology and personalized cancer healthcare. The fellow will expand their knowledge and skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning technologies, mathematical biomechanical modeling, inverse problems, and uncertainty quantification. The fellow will have opportunities to contribute to ongoing research projects and will be encouraged to explore and develop new areas of research interest with guidance from the mentor. The fellow will be expected to work closely with research/clinical collaborators, communicate findings via reports, abstracts, presentations, and publications, and actively participate in seminars, conferences, and related academic endeavors.
ELIGIBILITY REQUIREMENTS
Applicants should have earned a Ph.D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This appointment is not part of a clinical training program; individuals holding an M.D. degree or equivalent are not permitted to engage in patient care activity.
ADDITIONAL APPLICATION INFORMATION
The trainee will be appointed for one year from the date of hire with an option to be renewed for up to three years.
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html


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