Monitor equipment fluid levels.
Detailed work activity
Monitor equipment fluid levels. is a detailed work activity in O*NET — a concrete unit of work shared across 3 occupations and seen in 4 occupation-specific tasks. It rolls up into the broader work activity Monitor equipment operation. in Monitoring Processes, Materials, or Surroundings .
Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.
AI exposure
Of the 4 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 0 (0%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.
Member tasks
Occupation-specific tasks O*NET maps to this detailed work activity, most important first.
- Patrol work areas to ensure that solutions in tanks or troughs are not in danger of overflowing. · Chemical Plant and System Operators · importance 4.5 · no direct exposure
- Gauge tank levels, using calibrated rods. · Chemical Plant and System Operators · importance 4.4 · no direct exposure
- Monitor boiler water, chemical, and fuel levels, and make adjustments to maintain required levels. · Stationary Engineers and Boiler Operators · importance 4.4 · no direct exposure
- Patrol units to monitor the amount of oil in storage tanks, and to verify that activities and operations are safe, efficient, and in compliance with regulations. · Petroleum Pump System Operators, Refinery Operators, and Gaugers · importance 4.1 · no direct exposure
Occupations that perform this
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. "Monitor equipment fluid levels.." 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/detailed-activities/monitor-equipment-fluid-levels
Singulariki. (2026). Monitor equipment fluid levels.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/monitor-equipment-fluid-levels
@misc{singulariki-monitor-equipment-fluid-levels,
title = {Monitor equipment fluid levels.},
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/detailed-activities/monitor-equipment-fluid-levels}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.