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Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders

Occupation · SOC 51-4122.00

Set up, operate, or tend welding, soldering, or brazing machines or robots that weld, braze, solder, or heat treat metal products, components, or assemblies. Includes workers who operate laser cutters or laser-beam machines.

Also called: Fabricator · Machine Operator · Mig Welder · Spot Welder · Braze Operator · Certified Welder · Finishing Technician (Finishing Tech) · Laser Operator · Weld Technician (Weld Tech) · Welding Operator · Aluminum Welder · Arc Welding Machine Operator

Job family: Production Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-4122-00/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.

15th-percentile task overlap — yet about 3,200 openings a year (-9% 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
Overall AI exposure (Felten et al.) Low 17th -1.0
LLM task exposure, γ (OpenAI / Eloundou) Low 13th 0.1
AI assistant applicability (Microsoft) Low 23rd 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.1), 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.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.6 · 52nd percentile among occupations · Moderate

Job outlook

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

Outlook Declining · -9.0% by 2034
Projected annual openings 3,200
Employment 2024 → 2034 38,900 → 35,400

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

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

13% mean task exposure (2025)
11th percentile of 427 placed occupations
+2 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Welders and Flame Cutters · 7212 13% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 29 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).

Knowledge

Production and Processing 3.8
Administration and Management 3.5
Design 3.1
Public Safety and Security 2.9
English Language 2.8

Abilities

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

Transferable skills

Operations Monitoring 3.4
Operation and Control 3.3
Complex Problem Solving 3.0

Essential skills

Reading Comprehension 3.0
Active Listening 3.0
Speaking 3.0
Critical Thinking 3.0
Monitoring 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
Linux Operating system software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Email software Electronic mail software
Tool center point TCP setting software Industrial control 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.

Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.5
Importance of Being Exact or Accurate 4.4
Time Pressure 4.3
Spend Time Standing 4.3
Exposed to Contaminants 4.3
Spend Time Making Repetitive Motions 4.2
Health and Safety of Other Workers 4.2
Work With or Contribute to a Work Group or Team 4.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.2
Exposed to Minor Burns, Cuts, Bites, or Stings 4.1
Coordinate or Lead Others in Accomplishing Work Activities 4.0
Indoors, Not Environmentally Controlled 3.9
Exposed to Very Hot or Cold Temperatures 3.9
Consequence of Error 3.9
Impact of Decisions on Co-workers or Company Results 3.9
Frequency of Decision Making 3.8
Contact With Others 3.7
Work Outcomes and Results of Other Workers 3.5
Freedom to Make Decisions 3.5
Level of Competition 3.4
Pace Determined by Speed of Equipment 3.4
Exposed to Hazardous Conditions 3.3
Exposed to Hazardous Equipment 3.3
Spend Time Walking or Running 3.3
Importance of Repeating Same Tasks 3.3
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.2
Determine Tasks, Priorities and Goals 3.2
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.0
Spend Time Bending or Twisting Your Body 2.9
Exposed to Cramped Work Space, Awkward Positions 2.8
Physical Proximity 2.6
Conflict Situations 2.6
Indoors, Environmentally Controlled 2.5
E-Mail 2.5
Telephone Conversations 2.4
Degree of Automation 2.4
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.3
Exposed to Radiation 2.3

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: Precision Production . 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 32.0%
Less than a High School Diploma 21.8%

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 3.9
Investigative 2.0
Enterprising 1.5
Artistic 1.3

Interest areas

Mechanics/Electronics 4.8
Physical/Manual Labor 4.7
Engineering 3.7
Construction/Woodwork 1.8
Transportation/Machine Operation 1.7
Management/Administration 1.4
Mathematics/Statistics 1.3
Physical Science 1.3

Work styles

Attention to Detail 2.3
Dependability 2.3
Cautiousness 1.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$36k10th$39k25th$47kMedian$56k75th$66k90th
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.
39k202435k2034 (proj.)-9.0% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $35,780
25th percentile $39,480
Median (50th) $47,060
75th percentile $55,870
90th percentile $66,190
People employed 36,290

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 30,940 $47,000
Wholesale Trade · Sector 1,700 $48,440
Administrative and Support and Waste Management and Remediation Services · Sector 1,460 $39,780
Temporary Help Services · National industry 1,370 $39,360
Machine Shops · National industry 1,230 $47,060
Construction · Sector 960 $45,120
Professional, Scientific, and Technical Services · Sector 410 $73,630
Engineering Services · National industry 410 $73,630
Other Services (except Public Administration) · Sector 270 $55,860
Utilities · Sector 120 $94,100
Jewelry and Silverware Manufacturing · National industry 120 $39,880
Retail Trade · Sector 120 $35,710

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
Jewelry and Silverware Manufacturing · National industry 25.59× 120
Machine Shops · National industry 20.12× 1,230
Manufacturing · Sector 10.3× 30,940
Temporary Help Services · National industry 2.2× 1,370
Engineering Services · National industry 1.51× 410
Wholesale Trade · Sector 1.2× 1,700
Utilities · Sector 0.88× 120
Administrative and Support and Waste Management and Remediation Services · Sector 0.69× 1,460

Part of the Construction career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders sits at the 15th percentile of AI task-overlap and the 25th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders Structural Metal Fabricators and Fitters Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic Engine and Other Machine Assemblers Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic 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 Welding, Soldering, and Brazing 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

Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders show 15th-percentile AI task overlap — and about 3,200 annual U.S. openings

  • Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders rank in the 15th 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 3,200 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 declining (-9%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $47,060, across about 36,290 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders show 15th-percentile AI task overlap — and about 3,200 annual U.S. openings

• Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders rank in the 15th 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 3,200 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 declining (-9%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $47,060, across about 36,290 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders". https://singulariki.com/roles/role-51-4122-00
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. "Welding, Soldering, and Brazing 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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-51-4122-00

APA

Singulariki. (2026). Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-4122-00

BibTeX
@misc{singulariki-role-51-4122-00,
  title  = {Welding, Soldering, and Brazing 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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-51-4122-00}
}

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

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