Skip to content
Singulariki

Coating, Painting, and Spraying Machine Setters, Operators, and Tenders

Occupation · SOC 51-9124.00

Set up, operate, or tend spraying or rolling machines to coat or paint any of a wide variety of products, including glassware, cloth, ceramics, metal, plastic, paper, or wood, with lacquer, silver, copper, rubber, varnish, glaze, enamel, oil, or rust-proofing materials. Includes painters of transportation vehicles such as painters in auto body repair facilities.

Also called: Automotive Painter (Auto Painter) · Coater Operator · Paint Technician (Paint Tech) · Painter · Automotive Refinish Technician (Auto Refinish Tech) · Hand Sprayer · Industrial Painter · Powder Coater · Spray Painter · Top Coater · Abrasive Coating Machine Operator · Abrasive Coating Machine Setup Operator

Job family: Production Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-9124-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

6th-percentile task overlap — yet about 15,800 openings a year (+0.7% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
LLM task exposure, γ (OpenAI / Eloundou) Low 9th 0.1
AI assistant applicability (Microsoft) Low 11th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.1). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +0.7% by 2034
Projected annual openings 15,800
Employment 2024 → 2034 165,500 → 166,700

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Abilities

Near Vision 3.9
Arm-Hand Steadiness 3.8
Control Precision 3.8
Visual Color Discrimination 3.8
Manual Dexterity 3.6
Finger Dexterity 3.3
Far Vision 3.3
Flexibility of Closure 3.1
Perceptual Speed 3.1
Visualization 3.1
Trunk Strength 3.1
Oral Comprehension 3.0
Problem Sensitivity 3.0
Deductive Reasoning 3.0
Information Ordering 3.0
Selective Attention 3.0
Multilimb Coordination 3.0
Dynamic Strength 3.0
Extent Flexibility 3.0
Oral Expression 2.9
Inductive Reasoning 2.9
Category Flexibility 2.9
Rate Control 2.9
Reaction Time 2.9
Stamina 2.9
Auditory Attention 2.9

Transferable skills

Operations Monitoring 3.6
Operation and Control 3.1
Quality Control Analysis 3.1
Equipment Maintenance 3.0
Repairing 3.0
Coordination 2.9
Complex Problem Solving 2.9
Equipment Selection 2.9
Troubleshooting 2.9
Time Management 2.9
Social Perceptiveness 2.8

Essential skills

Monitoring 3.1
Critical Thinking 2.8

Knowledge

Mechanical 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Word Word processing software Hot technology
Inventory control software Inventory management software
Inventory management systems Inventory management software
Maintenance management software Facilities management software
Materials requirement planning MRP software Materials requirements planning logistics and supply chain software
Robotic painting software Industrial control software
Scheduling software Calendar and scheduling software
Time recording software Time accounting software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.8
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.7
Spend Time Making Repetitive Motions 4.6
Face-to-Face Discussions with Individuals and Within Teams 4.5
Exposed to Contaminants 4.3
Spend Time Standing 4.3
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.3
Time Pressure 4.2
Frequency of Decision Making 4.2
Work With or Contribute to a Work Group or Team 4.1
Exposed to Very Hot or Cold Temperatures 4.0
Importance of Being Exact or Accurate 4.0
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.8
Spend Time Walking or Running 3.8
Freedom to Make Decisions 3.8
Physical Proximity 3.8
Health and Safety of Other Workers 3.7
Exposed to Hazardous Conditions 3.7
Contact With Others 3.5
Pace Determined by Speed of Equipment 3.4
Spend Time Bending or Twisting Your Body 3.4
Work Outcomes and Results of Other Workers 3.3
Coordinate or Lead Others in Accomplishing Work Activities 3.3
Impact of Decisions on Co-workers or Company Results 3.3
Indoors, Not Environmentally Controlled 3.2
Exposed to Minor Burns, Cuts, Bites, or Stings 3.1
Determine Tasks, Priorities and Goals 2.9
Indoors, Environmentally Controlled 2.8
Importance of Repeating Same Tasks 2.7
Level of Competition 2.6
Exposed to Hazardous Equipment 2.5
Conflict Situations 2.4
Dealing With Unpleasant, Angry, or Discourteous People 2.4
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.3
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.3
Consequence of Error 2.3
Exposed to Cramped Work Space, Awkward Positions 2.3
Written Letters and Memos 2.2
Exposed to High Places 2.2
Outdoors, Exposed to All Weather Conditions 2.1

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

What to study: Mechanic and Repair Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 62.7%
Less than a High School Diploma 26.7%
Post-Secondary Certificate 7.1%
Some College Courses 3.6%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 7.0
Conventional 3.6
Artistic 2.1
Investigative 1.5
Social 1.2

Interest areas

Physical/Manual Labor 4.9
Construction/Woodwork 2.8
Mechanics/Electronics 2.8
Transportation/Machine Operation 2.1
Applied Arts and Design 1.9
Engineering 1.8
Visual Arts 1.8
Physical Science 1.3

Work styles

Attention to Detail 2.2
Dependability 2.1
Cautiousness 1.8

Wages & employment

U.S. · annual wages (BLS OEWS)

$35k10th$39k25th$48kMedian$59k75th$73k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
166k2024167k2034 (proj.)+0.7% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $35,480
25th percentile $39,470
Median (50th) $47,590
75th percentile $58,740
90th percentile $72,800
People employed 159,500

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Manufacturing · Sector 107,710 $46,900
Other Services (except Public Administration) · Sector 29,170 $52,010
Administrative and Support and Waste Management and Remediation Services · Sector 4,890 $39,350
Transportation and Warehousing · Sector 4,760 $48,730
Retail Trade · Sector 4,160 $47,370
Wholesale Trade · Sector 4,050 $44,620
Temporary Help Services · National industry 3,810 $38,970
Construction · Sector 2,170 $54,530
Machine Shops · National industry 1,610 $44,660
Professional, Scientific, and Technical Services · Sector 990 $59,020
Engineering Services · National industry 630 $59,070
Arts, Entertainment, and Recreation · Sector 480 $48,020

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Manufacturing · Sector 8.16× 107,710
Other Services (except Public Administration) · Sector 6.37× 29,170
Machine Shops · National industry 5.99× 1,610
Temporary Help Services · National industry 1.39× 3,810
Farm and Garden Machinery and Equipment Merchant Wholesalers · National industry 1.36× 160
Drywall and Insulation Contractors · National industry 0.75× 190
Wholesale Trade · Sector 0.65× 4,050
Sporting Goods Retailers · National industry 0.62× 190

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Coating, Painting, and Spraying Machine Setters, Operators, and Tenders sits at the 6th percentile of AI task-overlap and the 27th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Coating, Painting, and Spraying Machine Setters, Operators, and Tenders Fiberglass Laminators and Fabricators Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders Textile Bleaching and Dyeing Machine Operators and Tenders AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Coating, Painting, and Spraying Machine Setters, Operators, and Tenders — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Coating, Painting, and Spraying Machine Setters, Operators, and Tenders show 6th-percentile AI task overlap — and about 15,800 annual U.S. openings

  • Coating, Painting, and Spraying Machine Setters, Operators, and Tenders rank in the 6th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 15,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+0.7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $47,590, across about 159,500 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Coating, Painting, and Spraying Machine Setters, Operators, and Tenders show 6th-percentile AI task overlap — and about 15,800 annual U.S. openings

• Coating, Painting, and Spraying Machine Setters, Operators, and Tenders rank in the 6th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 15,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+0.7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $47,590, across about 159,500 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Coating, Painting, and Spraying Machine Setters, Operators, and Tenders". https://singulariki.com/roles/role-51-9124-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

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. "Coating, Painting, and Spraying Machine Setters, Operators, and Tenders." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-51-9124-00

APA

Singulariki. (2026). Coating, Painting, and Spraying Machine Setters, Operators, and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-9124-00

BibTeX
@misc{singulariki-role-51-9124-00,
  title  = {Coating, Painting, and Spraying Machine Setters, Operators, and Tenders},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-51-9124-00}
}

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

Embed this chart

Paste this into any page. It links back here for attribution.