Record gauge readings, materials used, processing times, or test results in production logs.
Work task
“Record gauge readings, materials used, processing times, or test results in production logs.” is a core task performed by Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders. Among the occupation's 11 rated tasks, workers place it 4th by importance (#8 most important). About 78% 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 E1. Direct exposure — a language model could plausibly cut the time to do this task by at least half.
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 1.00. Automation potential label: T3.
Other tasks in this occupation
- Add specified amounts of chemicals to equipment at required times to maintain solution levels and concentrations. · importance 4.3
- Observe machine operations, gauges, or thermometers, and adjust controls to maintain specified conditions. · importance 4.1
- Set controls to regulate temperature and length of cycles, and start conveyors, pumps, agitators, and machines. · importance 4.1
- Draw samples for laboratory analysis, or test solutions for conformance to specifications, such as acidity or specific gravity. · importance 4.1
- Adjust, clean, and lubricate mechanical parts of machines, using hand tools and grease guns. · importance 4.0
- Drain, clean, and refill machines or tanks at designated intervals, using cleaning solutions or water. · importance 4.0
- Operate or tend machines to wash and remove impurities from items such as barrels or kegs, glass products, tin plate surfaces, dried fruit, pulp, animal stock, coal, manufactured articles, plastic, or rubber. · importance 4.0
- Examine and inspect machines to detect malfunctions. · importance 3.8
- Load machines with objects to be processed and unload them after cleaning, placing them on conveyors or racks. · importance 3.8
- Measure, weigh, or mix cleaning solutions, using measuring tanks, calibrated rods or suction tubes. · importance 3.6
See all tasks on the Cleaning, Washing, and Metal Pickling Equipment 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. "Record gauge readings, materials used, processing times, or test results in production logs.." 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-14375
Singulariki. (2026). Record gauge readings, materials used, processing times, or test results in production logs.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-14375
@misc{singulariki-task-14375,
title = {Record gauge readings, materials used, processing times, or test results in production logs.},
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-14375}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.