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Temporary Remote Image Segmentation Jobs (NOW HIRING)

H R PUNDITS INC

Data Analyst V

Boise, ID · Remote

$130K/yr

USA Remote Responsibilities * Work with large and complex datasets to solve challenging problems ... segmentation for marketing 3 Customer support 4 Comfortable with temporary tables in SQL 5 Strong ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...

Saatchi Art

Temporary Marketing Coordinator

$25 - $28/hr

... Remote, USA / UK (with occasional travel to events) Contract / Hourly ($25-$28/hour) - End Date ... Own the end-to-end build of email campaigns in Klaviyo, including template design, segmentation, A ...

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Temporary Remote Image Segmentation information

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$18

$43

$70

How much do temporary remote image segmentation jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for temporary remote image segmentation in the United States is $43.61, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $50.72 per hour, depending on experience, location, and employer.

What is the difference between Temporary Remote Image Segmentation vs Image Annotation Specialist?

AspectTemporary Remote Image SegmentationImage Annotation Specialist
Primary FocusSegmenting images to identify specific regions or objectsLabeling and annotating images for training AI models
Skills & CertificationsImage processing, computer vision, basic codingData labeling, attention to detail, familiarity with annotation tools
Work EnvironmentRemote, project-based, often short-termRemote or on-site, project-based or ongoing
Industry UsageAI development, computer vision projectsMachine learning, AI training datasets

Temporary Remote Image Segmentation involves isolating specific regions within images for computer vision tasks, often requiring technical skills in image processing. In contrast, Image Annotation Specialists focus on labeling images to create training data for AI models. Both roles are remote, project-based, and essential in AI development, but they differ in technical complexity and specific tasks.

More about Temporary Remote Image Segmentation jobs
What cities are hiring for Temporary Remote Image Segmentation jobs? Cities with the most Temporary Remote Image Segmentation job openings:
What are the most commonly searched types of Temporary Image Segmentation jobs? The most popular types of Temporary Image Segmentation jobs are:
What states have the most Temporary Remote Image Segmentation jobs? States with the most job openings for Temporary Remote Image Segmentation jobs include:
What job categories do people searching Temporary Remote Image Segmentation jobs look for? The top searched job categories for Temporary Remote Image Segmentation jobs are:
Temporary Remote Image Segmentation jobs near you
Infographic showing various Temporary Remote Image Segmentation job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $90,701 per year, or $43.6 per hour.
Research Imaging Analyst

Research Imaging Analyst

University of Nebraska Medical Center

Omaha, NE • On-site, Remote

$49K - $73K/yr

Full-time

Re-posted 3 days ago

University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

52nd of 1,020 rated hospitals

Job description

Requisition Details
GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location
Omaha, NE
Requisition Number:
Staff_14225
Department
Neurological Sciences 50001975
Business Unit
College of Medicine
Reg-Temp
Full-Time Regular
Work Schedule
As directed by supervisor
Remote/Telecommuting
No remote/telecommuting opportunity
Position Summary
The position will work at Dr. WANG's Lab in the Department of Neurological Sciences, with the principal investigator and research team to coordinate, develop, and conduct clinical research projects aimed at improving patient health, disease treatment, and quality of life in individuals who are aging or have neurological, psychiatric, physiologic, or other medical disorders. They will assist with clinical research projects from start to finish to support successful communication, coordination, regulatory and protocol compliance, and work across a diverse, multidisciplinary team to meet project goals. The position will be independent, responsible, accountable, self-motivated, a strong and adept communicator, and able to complete detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in medical imaging processing.
Position Details
Additional Information
Posting Category
Research - Non Academic
Working Title
Research Imaging Analyst
Job Title
Research/Ag Specialist
Salary Grade
RA21S
Appointment Type
B1 - REG MGR PROF SALARY
Salary Range
$49,000 - $73,500/annual
Job Requisition Begin Date
12/16/2025
Application Review Date
12/23/2025
Review Date Information:
Initial application review will begin on the date provided in the field above. Applications received prior to this review date will be considered. Applications received after the review date may be considered.
Required and Preferred Qualifications
Required Education:
Bachelor's degree or equivalent
If any degree major/training is required, please specify the type. (NOTE: Concentration and minors are not equivalent to a major)
Scientific or related field
(Will consider six years related education and experience combined of which two years must include related post high school education)
Required Experience
2 years
If any experience is required, please specify what kind of experience:
Experience related to healthcare, laboratory and/or clinical research
(Will consider six years related education and experience combined of which two years must include related post high school education)
Required License
No
If yes, what is the required licensure/certification?
Required Computer Applications:
Microsoft Word
Required Other Computer Applications:
Microsoft Office
Required Additional Knowledge, Skills and Abilities:
  1. Highly proficient in medical imaging toolboxes/software including FreeSurfer, FSL, AFNI, SPM, ANTs, ITK, c3d, SurfStat, NODDI, GIFT, CONN, GRETNA, SPSS, etc.
  2. Data management and /or data analysis in medical area.

Preferred Education:
If any degree/training is preferred, please specify the type:
Preferred Experience:
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent verbal and written communication skills.

Preferred License:
No
If yes, what is the preferred licensure/certification?:
Preferred Computer Applications:
Preferred Other Computer Applications:
Preferred Additional Knowledge, Skills and Abilities:
  1. Experience in deep learning, machine learning and medical imaging processing
  2. Programming experience: Python, MATLAB, SPSS, Shell.
  3. Experience in working with Linux workstation.

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