Immerse objects or workpieces in cleaning or coating solutions.

Immerse objects or workpieces in cleaning or coating solutions. is a detailed work activity in O*NET — a concrete unit of work shared across 9 occupations and seen in 12 occupation-specific tasks. It rolls up into the broader work activity Prepare industrial materials for processing or use. in Handling and Moving Objects .

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 12 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.

• Immerse workpieces in coating solutions or liquid metal or plastic for specified times. · Plating Machine Setters, Operators, and Tenders, Metal and Plastic · importance 4.7 · no direct exposure
• Soak specified textile products for designated times. · Textile Bleaching and Dyeing Machine Operators and Tenders · importance 4.4 · no direct exposure
• Immerse eyeglass frames in solutions to harden, soften, or dye frames. · Ophthalmic Laboratory Technicians · importance 4.3 · no direct exposure
• Remove wax or tape from etched glassware by using a stylus or knife, or by immersing ware in hot water. · Etchers and Engravers · importance 4.2 · no direct exposure
• Immerse objects to be coated or plated into cleaning solutions, or spray objects with conductive solutions to prepare them for plating. · Plating Machine Setters, Operators, and Tenders, Metal and Plastic · importance 4.1 · no direct exposure
• Suspend objects, such as parts or molds from cathode rods, or negative terminals, and immerse objects in plating solutions. · Plating Machine Setters, Operators, and Tenders, Metal and Plastic · importance 4.1 · no direct exposure
• Suspend sticks or pieces of plating metal from anodes, or positive terminals, and immerse metal in plating solutions. · Plating Machine Setters, Operators, and Tenders, Metal and Plastic · importance 4.1 · no direct exposure
• Immerse film, negatives, paper, or prints in developing solutions, fixing solutions, and water to complete photographic development processes. · Photographic Process Workers and Processing Machine Operators · importance 4.0 · no direct exposure
• Place workpieces in electroplating solutions or apply pigments to surfaces of workpieces to highlight ridges and grooves. · Tool Grinders, Filers, and Sharpeners · importance 4.0 · no direct exposure
• Immerse articles in bleaching baths to strip colors. · Laundry and Dry-Cleaning Workers · importance 3.4 · no direct exposure
• Apply solvents and cleaning agents to clean surfaces of paintings, and to remove accretions, discolorations, and deteriorated varnish. · Fine Artists, Including Painters, Sculptors, and Illustrators · importance 3.3 · no direct exposure
• Immerse completed workpieces into water or acid baths to cool and clean components. · Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders · importance 3.0 · no direct exposure

Occupations that perform this

• Plating Machine Setters, Operators, and Tenders, Metal and Plastic
• Textile Bleaching and Dyeing Machine Operators and Tenders
• Ophthalmic Laboratory Technicians
• Etchers and Engravers
• Photographic Process Workers and Processing Machine Operators
• Tool Grinders, Filers, and Sharpeners
• Laundry and Dry-Cleaning Workers
• Fine Artists, Including Painters, Sculptors, and Illustrators
• Welding, Soldering, and Brazing Machine Setters, 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-immerse-objects-or-workpieces-in-cleaning-or-coating-solutions,
  title  = {Immerse objects or workpieces in cleaning or coating solutions.},
  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/immerse-objects-or-workpieces-in-cleaning-or-coating-solutions}
}