Clean materials to prepare them for production.

Clean materials to prepare them for production. is a detailed work activity in O*NET — a concrete unit of work shared across 4 occupations and seen in 5 occupation-specific tasks. It rolls up into the broader work activity Clean workpieces, finished products, or other objects. in Performing General Physical Activities .

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 5 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.

• Prepare material to load into furnaces, including cleaning, crushing, or applying chemicals, by using crushing machines, shovels, rakes, or sprayers. · Metal-Refining Furnace Operators and Tenders · importance 4.5 · no direct exposure
• Cut, trim, skin, sort, and wash viscera of slaughtered animals to separate edible portions from offal. · Slaughterers and Meat Packers · importance 4.3 · no direct exposure
• Shave or singe and defeather carcasses, and wash them in preparation for further processing or packaging. · Slaughterers and Meat Packers · importance 4.3 · no direct exposure
• Clean materials, such as metals, according to recycling requirements. · Recycling and Reclamation Workers · importance 4.0 · no direct exposure
• Clean and remove damaged or otherwise inferior materials to prepare raw products for processing. · Packaging and Filling Machine Operators and Tenders · importance 4.0 · no direct exposure

Occupations that perform this

• Metal-Refining Furnace Operators and Tenders
• Slaughterers and Meat Packers
• Recycling and Reclamation Workers
• Packaging and Filling Machine Operators and Tenders

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.

@misc{singulariki-clean-materials-to-prepare-them-for-production,
  title  = {Clean materials to prepare them for production.},
  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/clean-materials-to-prepare-them-for-production}
}