Immerse samples in chemical compounds to prepare them for testing.
Work task
“Immerse samples in chemical compounds to prepare them for testing.” is a supplemental task performed by Nuclear Monitoring Technicians. Among the occupation's 19 rated tasks, workers place it 2nd by importance (#18 most important).
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.
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
- Brief workers on radiation levels in work areas. · importance 4.6
- Calculate safe radiation exposure times for personnel using plant contamination readings and prescribed safe levels of radiation. · importance 4.5
- Monitor personnel to determine the amounts and intensities of radiation exposure. · importance 4.5
- Provide initial response to abnormal events or to alarms from radiation monitoring equipment. · importance 4.5
- Inform supervisors when individual exposures or area radiation levels approach maximum permissible limits. · importance 4.5
- Determine intensities and types of radiation in work areas, equipment, or materials, using radiation detectors or other instruments. · importance 4.5
- Instruct personnel in radiation safety procedures and demonstrate use of protective clothing and equipment. · importance 4.4
- Collect samples of air, water, gases, or solids to determine radioactivity levels of contamination. · importance 4.4
- Analyze samples, such as air or water samples, for contaminants or other elements. · importance 4.3
- Enter data into computers to record characteristics of nuclear events or to locate coordinates of particles. · importance 4.1
- Determine or recommend radioactive decontamination procedures, according to the size and nature of equipment and the degree of contamination. · importance 4.1
- Set up equipment that automatically detects area radiation deviations and test detection equipment to ensure its accuracy. · importance 4.1
- Calibrate and maintain chemical instrumentation sensing elements and sampling system equipment, using calibration instruments and hand tools. · importance 4.0
- Prepare reports describing contamination tests, material or equipment decontaminated, or methods used in decontamination processes. · importance 4.0
See all tasks on the Nuclear Monitoring Technicians 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. "Immerse samples in chemical compounds to prepare them for testing.." 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-7614
Singulariki. (2026). Immerse samples in chemical compounds to prepare them for testing.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-7614
@misc{singulariki-task-7614,
title = {Immerse samples in chemical compounds to prepare them for testing.},
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-7614}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.