Record production and operational data, such as amount of materials processed.
Work task
“Record production and operational data, such as amount of materials processed.” is a core task performed by Machine Feeders and Offbearers. Among the occupation's 13 rated tasks, workers place it 12th by importance (#2 most important). About 91% 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
- Inspect materials and products for defects, and to ensure conformance to specifications. · importance 4.4
- Push dual control buttons and move controls to start, stop, or adjust machinery and equipment. · importance 4.3
- Weigh or measure materials or products to ensure conformance to specifications. · importance 4.3
- Identify and mark materials, products, and samples, following instructions. · importance 4.2
- Clean and maintain machinery, equipment, and work areas to ensure proper functioning and safe working conditions. · importance 4.1
- Remove materials and products from machines and equipment, and place them in boxes, trucks or conveyors, using hand tools and moving devices. · importance 4.0
- Load materials and products into machines and equipment, or onto conveyors, using hand tools and moving devices. · importance 4.0
- Transfer materials and products to and from machinery and equipment, using industrial trucks or hand trucks. · importance 4.0
- Shovel or scoop materials into containers, machines, or equipment for processing, storage, or transport. · importance 3.9
- Open and close gates of belt and pneumatic conveyors on machines that are fed directly from preceding machines. · importance 3.9
- Fasten, package, or stack materials and products, using hand tools and fastening equipment. · importance 3.9
- Add chemicals, solutions, or ingredients to machines or equipment as required by the manufacturing process. · importance 3.6
See all tasks on the Machine Feeders and Offbearers 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 production and operational data, such as amount of materials processed.." 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-14591
Singulariki. (2026). Record production and operational data, such as amount of materials processed.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-14591
@misc{singulariki-task-14591,
title = {Record production and operational data, such as amount of materials processed.},
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-14591}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.