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 ...
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 ...
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 ...
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 ...
While this is a remote position not located at a physical Medtronic site, the candidate hired will ... Over the past 20 years, we have become the global market leader in three key segments - image ...
While this is a remote position not located at a physical Medtronic site, the candidate hired will ... Over the past 20 years, we have become the global market leader in three key segments - image ...
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.
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.
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.
$18/hr
Other
Retirement, PTO
Posted 8 days ago
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.
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.
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.
Experience working in Optometry and Ophthalmology setting.
Experience working in a clinic office setting.
Experience working with clinical trials.
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:
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 OpportunityEmployer.
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 backgroundsand 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 accommodationfor 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.
