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Clean workpieces, finished products, or other objects

Work activity · O*NET

Clean workpieces, finished products, or other objects is an intermediate work activity in the O*NET database — a concrete task that recurs across many occupations , grouped under Performing General Physical Activities. 47 occupations report doing it as part of their work.

What it involves

The most common detailed activities O*NET records under this category, ranked by how many occupation tasks map to each.

  • Clean workpieces or finished products
  • Clean tableware
  • Apply water or solutions to fabrics or apparel
  • Clean objects
  • Clean fabrics or apparel
  • Operate garment treatment equipment
  • Clean materials to prepare them for production

How AI is applied to this activity

Microsoft's "Working with AI" study mapped real Bing Copilot conversations to O*NET work activities. The figures below are their measurements for this activity — they describe how AI is used today in one assistant's data, not a forecast that the activity will be automated.

AI completes it successfully 99.2% When Copilot attempts this activity, how often it finishes the task
Scope AI handles 25.4% How much of the activity AI carries within a conversation
Positive user feedback 77.8% Share of interactions users rated positively
How often AI is applied here 53rd pct Percentile across all measured activities by how often AI performs them

Source: Microsoft "Working with AI" (working-with-ai). A high completion rate means AI can assist the activity in isolation — it does not mean an occupation that performs it is being automated, since every job blends many activities.

Detailed work activities

The more granular units of work O*NET groups under this activity, ordered by how many occupations perform them.

Occupations that perform this activity

Ranked by how many of the occupation's tasks map to this activity.

Occupation Tasks
Laundry and Dry-Cleaning Workers 9
Plating Machine Setters, Operators, and Tenders, Metal and Plastic 3
Aircraft Structure, Surfaces, Rigging, and Systems Assemblers 2
Costume Attendants 2
Etchers and Engravers 2
Fast Food and Counter Workers 2
Food Preparation Workers 2
Furniture Finishers 2
Locker Room, Coatroom, and Dressing Room Attendants 2
Painting, Coating, and Decorating Workers 2
Pressers, Textile, Garment, and Related Materials 2
Semiconductor Processing Technicians 2
Slaughterers and Meat Packers 2
Textile Bleaching and Dyeing Machine Operators and Tenders 2
Anthropologists and Archeologists 1
Automotive Glass Installers and Repairers 1
Baristas 1
Bartenders 1
Biological Technicians 1
Chemical Technicians 1
Cooks, Institution and Cafeteria 1
Cutters and Trimmers, Hand 1
Dining Room and Cafeteria Attendants and Bartender Helpers 1
Dishwashers 1
Electrical and Electronic Equipment Assemblers 1
Electromechanical Equipment Assemblers 1
Fiberglass Laminators and Fabricators 1
Fine Artists, Including Painters, Sculptors, and Illustrators 1
Food Science Technicians 1
Food Servers, Nonrestaurant 1
Grinding and Polishing Workers, Hand 1
Helpers--Production Workers 1
Jewelers and Precious Stone and Metal Workers 1
Maids and Housekeeping Cleaners 1
Metal-Refining Furnace Operators and Tenders 1
Molders, Shapers, and Casters, Except Metal and Plastic 1
Nuclear Monitoring Technicians 1
Nuclear Technicians 1
Ophthalmic Laboratory Technicians 1
Packaging and Filling Machine Operators and Tenders 1

Showing 40 of 47 occupations.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 38 occupations in occupations that perform Clean workpieces, finished products, or other objects.. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Dishwashers Automotive Glass Installers and Repairers Packaging and Filling Machine Operators and Tenders Helpers--Production Workers Fiberglass Laminators and Fabricators Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Metal-Refining Furnace Operators and Tenders Food Preparation Workers Cooks, Institution and Cafeteria Semiconductor Processing Technicians Jewelers and Precious Stone and Metal Workers Nuclear Technicians Chemical Technicians Fine Artists, Including Painters, Sculptors, and Illustrators Anthropologists and Archeologists AI task-overlap percentile → ↑ Median pay
Occupations that perform Clean workpieces, finished products, or other objects., by AI task-overlap and median pay

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Clean workpieces, finished products, or other objects." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Microsoft “Working with AI” working-with-ai. Accessed June 7, 2026. https://singulariki.com/activities/clean-workpieces-finished-products-or-other-objects

APA

Singulariki. (2026). Clean workpieces, finished products, or other objects. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/activities/clean-workpieces-finished-products-or-other-objects

BibTeX 
@misc{singulariki-clean-workpieces-finished-products-or-other-objects,
  title  = {Clean workpieces, finished products, or other objects},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Microsoft “Working with AI” working-with-ai. Accessed June 7, 2026},
  url    = {https://singulariki.com/activities/clean-workpieces-finished-products-or-other-objects}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.