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Remote Image Segmentation Jobs in Wisconsin (NOW HIRING)

Data Entry Operator

Madison, WI · On-site +1

$18/hr

Manual correction of segmentation lines in the images. This position does not involve coding or ... It is anticipated that this position will be remote and requires work be performed at an offsite ...

Remote Image Segmentation information

See Wisconsin salary details

$19

$44

$71

How much do remote image segmentation jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote image segmentation in Wisconsin is $44.01, according to ZipRecruiter salary data. Most workers in this role earn between $34.23 and $51.20 per hour, depending on experience, location, and employer.

What is a Remote Image Segmentation job?

A Remote Image Segmentation job involves labeling or partitioning images into different regions or objects using AI tools or manual annotation. This role is crucial for training computer vision models in applications like medical imaging, autonomous vehicles, and satellite imagery analysis. Professionals in this field work remotely using specialized software to annotate images accurately. Strong attention to detail and familiarity with image processing techniques are often required.

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

To thrive as a Remote Image Segmentation specialist, you need a solid background in computer vision, deep learning, and image processing, commonly supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and annotation platforms, as well as knowledge of relevant data labeling standards, is highly important. Attention to detail, strong problem-solving skills, and clear remote communication help drive success in collaborative projects. These abilities ensure high-quality, accurate image segmentation results and efficient teamwork in distributed environments.

What does a typical day look like for someone working in Remote Image Segmentation?

A typical day for a Remote Image Segmentation specialist involves reviewing image datasets, applying annotation algorithms or manually labeling images, and collaborating with team members through virtual meetings or project management platforms. You may spend significant time optimizing models, troubleshooting data inconsistencies, and documenting your progress for other team members or stakeholders. While much of the work is independent, regular communication with data scientists, project managers, and other annotators is essential to ensure that segmentation tasks meet project goals and quality standards. This structure allows for flexibility but also demands self-motivation and strong organization to handle deadlines and evolving project requirements.
What are the most commonly searched types of Image Segmentation jobs in Wisconsin? The most popular types of Image Segmentation jobs in Wisconsin are:
What are popular job titles related to Remote Image Segmentation jobs in Wisconsin? For Remote Image Segmentation jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Image Segmentation jobs in Wisconsin look for? The top searched job categories for Remote Image Segmentation jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Image Segmentation jobs? Cities in Wisconsin with the most Remote Image Segmentation job openings:
Data Entry Operator

Data Entry Operator

University of Wisconsin-Madison

Madison, WI • On-site, Remote

$18/hr

Full-time

Retirement, PTO

Posted 10 days ago


University Of Wisconsin-Madison rating

8.2

Company rating: 8.2 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

109th of 532 rated colleges and universities


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category:
University Staff
Employment Type:
Terminal (Fixed Term)
Job Profile:
Data Entry Operator
Job Summary:
The Wisconsin Reading Center (WRC) seeks a collaborative individual to assist in preparing images for ophthalmology reading. The incumbent will be preparing digital ocular scans by converting format in software and running a segmentation software algorithm. Manual correction of segmentation lines in the images. This position does not involve coding or programming responsibilities.
  • This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding.
  • It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. It is required that employees come into Madison, WI, quarterly on preset dates for onsite meetings and collaboration.
  • The work schedule is flexible and will be determined at the time of hire.

Key Job Responsibilities:
  • Review and examine the segmentation lines for accuracy and make appropriate corrections for completeness. Optimize images for analysis. Uses proprietary software to view and analyze metadata, images, and documentation.
  • Enters information into systems or national database
  • Maintains awareness of and ensures adherence to university standards regarding privacy
  • Prepares and sorts documents for data entry

Department:
School of Medicine and Public Health, Department of Ophthalmology and Visual Sciences, Wisconsin Reading Center.
The Wisconsin Reading Center (WRC) is a core retinal image reading lab within the University of Wisconsin-Madison Department of Ophthalmology and Visual Sciences (DOVS). The WRC was founded on the enduring principles of intellectual honesty, quality, relevance, innovation, and staff satisfaction. Incepted in 1970 to support the seminal NIH-funded trials of laser treatment for diabetic retinopathy (DR), the WRC has broadened its scope to the evaluation of many retinal diseases, including dry AMD, atrophic AMD, neovascular AMD, DME, retinal vein occlusion, posterior uveitis, inherited retinal disease, AIDS-related ocular disease, and cataract.
Why Join Us?
This position offers remote work with the requirement to be on-site quarterly. We provide flexible work schedules, comprehensive benefits, and professional development. Our team is passionate about making a positive impact on eye disease, and we are looking for individuals who share that commitment.
Compensation:
The starting salary for the position is $18/hour, but is negotiable based on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH University Staff Benefits Flyer.
Required Qualifications:
  • Attention to detail, and strong organization skills.
  • Excellent problem-solving, interpersonal, and writing skills.
  • Experience in research setting or healthcare.

Preferred Qualifications:
  • Experience working in Optometry and Ophthalmology setting.
  • Experience working in a clinic office setting.
  • Experience working with clinical trials.

Education:
H.S. Diploma Preferred.
How to Apply:
To apply for this position, please click on the "I am a current employee" button or "I am not a current employee" button under Apply Now. You will be prompted to upload the following documents:
  • Cover Letter
  • Resume

Applicants are to submit a cover letter and resume detailing their training and experience relating to the required and preferred qualifications referenced above. Please note, there is only one attachment field. You must upload all of your documents in the attachment field. The application reviewers will be relying on written application materials to determine which qualified applicants will advance in the recruitment process. We will notify selected applicants to participate further in the selection process directly. References will be requested of final candidates. All applicants will be notified after the search is complete and a candidate has been selected.
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.
Contact Information:
Beth Reuter, ejreuter@wisc.edu, 608-263-3680.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

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About University of Wisconsin

Sourced by ZipRecruiter

The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005