Soak specified textile products for designated times.
Work task
“Soak specified textile products for designated times.” is a supplemental task performed by Textile Bleaching and Dyeing Machine Operators and Tenders. Among the occupation's 24 rated tasks, workers place it 14th by importance (#11 most important). About 68% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E0. No direct exposure — current language models give little or no time savings on this task.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.00. Automation potential label: T0.
Other tasks in this occupation
- Start and control machines and equipment to wash, bleach, dye, or otherwise process and finish fabric, yarn, thread, or other textile goods. · importance 4.6
- Observe display screens, control panels, equipment, and cloth entering or exiting processes to determine if equipment is operating correctly. · importance 4.5
- Notify supervisors or mechanics of equipment malfunctions. · importance 4.5
- Monitor factors such as temperatures and dye flow rates to ensure that they are within specified ranges. · importance 4.5
- Sew ends of cloth together, by hand or using machines, to form endless lengths of cloth to facilitate processing. · importance 4.5
- Add dyes, water, detergents, or chemicals to tanks to dilute or strengthen solutions, according to established formulas and solution test results. · importance 4.5
- Ravel seams that connect cloth ends when processing is completed. · importance 4.5
- Remove dyed articles from tanks and machines for drying and further processing. · importance 4.5
- Adjust equipment controls to maintain specified heat, tension, and speed. · importance 4.5
- Examine and feel products to identify defects and variations from coloring and other processing standards. · importance 4.5
- Study guides, charts, and specification sheets, and confer with supervisors to determine machine setup requirements. · importance 4.4
- Prepare dyeing machines for production runs, and conduct test runs of machines to ensure their proper operation. · importance 4.4
- Test solutions used to process textile goods to detect variations from standards. · importance 4.4
- Key in processing instructions to program electronic equipment. · importance 4.4
See all tasks on the Textile Bleaching and Dyeing Machine Operators and Tenders page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Soak specified textile products for designated times.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-14138
Singulariki. (2026). Soak specified textile products for designated times.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-14138
@misc{singulariki-task-14138,
title = {Soak specified textile products for designated times.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-14138}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.