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Pump Operators, Except Wellhead Pumpers

Occupation · SOC 53-7072.00

Tend, control, or operate power-driven, stationary, or portable pumps and manifold systems to transfer gases, oil, other liquids, slurries, or powdered materials to and from various vessels and processes.

Also called: Outside Operator · Pipeline Operator · Pumper · Tank Farm Operator · Boom Pump Operator · Chemical Pumper · Day Light Relief Operator · Pipeline Dispatch Operator · Pump Operator · Pump Station Operator · Acid Loader · Acid Pump Operator

Job family: Transportation and Material Moving Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-53-7072-00/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.

34th-percentile task overlap — yet about 1,500 openings a year (+2.6% 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 24th -0.8
LLM task exposure, γ (OpenAI / Eloundou) Moderate 34th 0.3
AI assistant applicability (Microsoft) Moderate 50th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.2), and including AI-powered software (γ 0.3). 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.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

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 0.9 · 78th percentile among occupations · High

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 · +2.6% by 2034
Projected annual openings 1,500
Employment 2024 → 2034 13,100 → 13,500

“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 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

28% mean task exposure (2025)
51st percentile of 427 placed occupations
−3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Petroleum and Natural Gas Refining Plant Operators · 3134 29% Not exposed
Incinerator and Water Treatment Plant Operators · 3132 27% 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 14 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).

Transferable skills

Operations Monitoring 3.9
Operation and Control 3.5
Troubleshooting 3.0
Judgment and Decision Making 3.0
Time Management 3.0

Abilities

Near Vision 3.9
Oral Comprehension 3.8
Problem Sensitivity 3.8
Perceptual Speed 3.8
Oral Expression 3.6
Control Precision 3.4
Written Expression 3.3
Information Ordering 3.3
Written Comprehension 3.1
Deductive Reasoning 3.1
Flexibility of Closure 3.1
Selective Attention 3.1
Arm-Hand Steadiness 3.1
Manual Dexterity 3.1
Multilimb Coordination 3.1
Far Vision 3.1
Inductive Reasoning 3.0
Category Flexibility 3.0
Visualization 3.0
Finger Dexterity 3.0
Rate Control 3.0
Reaction Time 3.0
Static Strength 3.0
Trunk Strength 3.0
Extent Flexibility 3.0
Visual Color Discrimination 3.0

Essential skills

Monitoring 3.5
Reading Comprehension 3.1
Active Listening 3.1
Speaking 3.1
Critical Thinking 3.1

Knowledge

Production and Processing 3.4
Mechanical 3.3
English Language 3.3
Mathematics 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 In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft Word Word processing software Hot technology
Computerized maintenance management system CMMS Facilities management software
Operational databases Data base user interface and query software
Supervisory control and data acquisition SCADA 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 5.0
Exposed to Contaminants 4.8
In an Enclosed Vehicle or Operate Enclosed Equipment 4.7
Outdoors, Exposed to All Weather Conditions 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.6
Telephone Conversations 4.5
Health and Safety of Other Workers 4.5
Frequency of Decision Making 4.3
Contact With Others 4.3
Exposed to Hazardous Equipment 4.2
Exposed to Very Hot or Cold Temperatures 4.2
Impact of Decisions on Co-workers or Company Results 4.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.1
Determine Tasks, Priorities and Goals 4.1
Importance of Repeating Same Tasks 4.0
Freedom to Make Decisions 4.0
Work With or Contribute to a Work Group or Team 3.9
Importance of Being Exact or Accurate 3.8
Spend Time Making Repetitive Motions 3.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.7
Exposed to Hazardous Conditions 3.6
Consequence of Error 3.6
Spend Time Standing 3.4
Indoors, Not Environmentally Controlled 3.3
Time Pressure 3.3
Exposed to High Places 3.2
Coordinate or Lead Others in Accomplishing Work Activities 3.1
Physical Proximity 3.1
Work Outcomes and Results of Other Workers 3.0
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.9
Deal With External Customers or the Public in General 2.9
Level of Competition 2.8
In an Open Vehicle or Operating Equipment 2.6
Pace Determined by Speed of Equipment 2.6
Exposed to Cramped Work Space, Awkward Positions 2.6
Spend Time Bending or Twisting Your Body 2.6
Outdoors, Under Cover 2.5
Spend Time Sitting 2.5
E-Mail 2.5
Exposed to Minor Burns, Cuts, Bites, or Stings 2.4

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.

Education of current workers

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

Some College Courses 8.5%
Post-Secondary Certificate 8.4%
Associate's Degree (or other 2-year degree) 4.6%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.7
Conventional 4.5
Investigative 2.3
Enterprising 1.5
Social 1.3

Interest areas

Mechanics/Electronics 4.0
Physical/Manual Labor 3.2
Engineering 3.1
Transportation/Machine Operation 2.4
Mathematics/Statistics 2.1
Physical Science 1.4
Management/Administration 1.4

Work styles

Dependability 3.0
Cautiousness 2.6
Attention to Detail 2.4
Stress Tolerance 1.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$38k10th$47k25th$60kMedian$75k75th$90k90th
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.
13k202414k2034 (proj.)+2.6% · 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 $37,850
25th percentile $47,270
Median (50th) $60,020
75th percentile $75,160
90th percentile $89,660
People employed 12,600

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
Construction · Sector 3,300 $59,570
Mining, Quarrying, and Oil and Gas Extraction · Sector 2,610 $60,270
Transportation and Warehousing · Sector 2,520 $77,180
Poured Concrete Foundation and Structure Contractors · National industry 1,900 $60,360
Wholesale Trade · Sector 1,370 $48,910
Administrative and Support and Waste Management and Remediation Services · Sector 870 $48,240
Real Estate and Rental and Leasing · Sector 500 $53,440
Manufacturing · Sector 490 $62,250
Retail Trade · Sector 190 $47,500
Utilities · Sector 130 $61,770
Plumbing, Heating, and Air-Conditioning Contractors · National industry 110 $50,550

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
Poured Concrete Foundation and Structure Contractors · National industry 89.87× 1,900
Mining, Quarrying, and Oil and Gas Extraction · Sector 55.69× 2,610
Construction · Sector 4.97× 3,300
Transportation and Warehousing · Sector 4.17× 2,520
Wholesale Trade · Sector 2.78× 1,370
Utilities · Sector 2.75× 130
Real Estate and Rental and Leasing · Sector 2.58× 500
Administrative and Support and Waste Management and Remediation Services · Sector 1.18× 870

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Pump Operators, Except Wellhead Pumpers sits at the 34th percentile of AI task-overlap and the 46th 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 Pump Operators, Except Wellhead Pumpers Wellhead Pumpers Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders Chemical Equipment Operators and Tenders Gas Plant Operators Petroleum Pump System Operators, Refinery Operators, and Gaugers Stationary Engineers and Boiler Operators 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 Pump Operators, Except Wellhead Pumpers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Pump Operators, Except Wellhead Pumpers show 34th-percentile AI task overlap — and about 1,500 annual U.S. openings

  • Pump Operators, Except Wellhead Pumpers rank in the 34th percentile (Moderate 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 1,500 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 (+2.6%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $60,020, across about 12,600 U.S. workers.BLS OEWS (May 2024)
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Pump Operators, Except Wellhead Pumpers show 34th-percentile AI task overlap — and about 1,500 annual U.S. openings

• Pump Operators, Except Wellhead Pumpers rank in the 34th percentile (Moderate 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 1,500 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 (+2.6%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $60,020, across about 12,600 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Pump Operators, Except Wellhead Pumpers". https://singulariki.com/roles/role-53-7072-00
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. "Pump Operators, Except Wellhead Pumpers." 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-53-7072-00

APA

Singulariki. (2026). Pump Operators, Except Wellhead Pumpers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-7072-00

BibTeX
@misc{singulariki-role-53-7072-00,
  title  = {Pump Operators, Except Wellhead Pumpers},
  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-53-7072-00}
}

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

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