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Chemical Equipment Operators and Tenders

Occupation · SOC 51-9011.00

Operate or tend equipment to control chemical changes or reactions in the processing of industrial or consumer products. Equipment used includes devulcanizers, steam-jacketed kettles, and reactor vessels.

Also called: Chemical Operator · Multiskill Operator · Outside Operator · Vessel Operator · Chlorination Operator · Process Operator · Spray Dry Operator · Acetone Recovery Worker · Acetylene Plant Operator · Acid Bleacher · Acid Cleaner · Acid Concentrator

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-51-9011-00/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.

28th-percentile task overlap — yet about 14,400 openings a year (+3.3% 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.) Moderate 35th -0.5
LLM task exposure, γ (OpenAI / Eloundou) Low 26th 0.2
AI assistant applicability (Microsoft) Low 27th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.2), and including AI-powered software (γ 0.2). 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 0.8 · 62nd percentile among occupations · Moderate

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Adjust controls to regulate temperature, pressure, feed, or flow of liquids or gases and times of prescribed reactions, according to knowledge of equipment and processes. 0.2%
Measure, weigh, and mix chemical ingredients, according to specifications. 0.2%

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 · +3.3% by 2034
Projected annual openings 14,400
Employment 2024 → 2034 128,900 → 133,100

“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.

24% mean task exposure (2025)
45th percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Chemical Products Plant and Machine Operators · 8131 24% 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 23 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Load products into tanks for shipment.

Work activities

Knowledge, skills & abilities

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

Knowledge

Production and Processing 4.5
Chemistry 4.4
Mechanical 4.1
Computers and Electronics 3.7
English Language 3.7
Mathematics 3.5
Public Safety and Security 3.5
Law and Government 3.3
Administrative 3.3
Administration and Management 3.2
Engineering and Technology 3.1

Transferable skills

Operations Monitoring 3.9
Operation and Control 3.9
Judgment and Decision Making 3.4
Complex Problem Solving 3.1

Essential skills

Monitoring 3.8
Reading Comprehension 3.4
Active Listening 3.4
Critical Thinking 3.4
Speaking 3.1

Abilities

Oral Comprehension 3.8
Oral Expression 3.8
Problem Sensitivity 3.8
Control Precision 3.8
Near Vision 3.8
Written Comprehension 3.6
Perceptual Speed 3.5
Information Ordering 3.4
Multilimb Coordination 3.4
Far Vision 3.4
Written Expression 3.3
Deductive Reasoning 3.3
Manual Dexterity 3.3
Reaction Time 3.3
Inductive Reasoning 3.1
Flexibility of Closure 3.1
Selective Attention 3.1
Arm-Hand Steadiness 3.1
Rate Control 3.1
Speech Recognition 3.1

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
SAP software Enterprise resource planning ERP software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
IBM Notes Electronic mail software
Operational databases Data base user interface and query 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
Face-to-Face Discussions with Individuals and Within Teams 4.7
Exposed to Contaminants 4.7
Exposed to Hazardous Conditions 4.5
Health and Safety of Other Workers 4.5
E-Mail 4.4
Work With or Contribute to a Work Group or Team 4.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.4
Importance of Being Exact or Accurate 4.3
Exposed to Very Hot or Cold Temperatures 4.3
Indoors, Not Environmentally Controlled 4.2
Contact With Others 4.2
Pace Determined by Speed of Equipment 4.2
Outdoors, Exposed to All Weather Conditions 4.1
Coordinate or Lead Others in Accomplishing Work Activities 4.0
Time Pressure 4.0
Consequence of Error 4.0
Freedom to Make Decisions 4.0
Work Outcomes and Results of Other Workers 4.0
Importance of Repeating Same Tasks 3.9
Exposed to Hazardous Equipment 3.8
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.8
Determine Tasks, Priorities and Goals 3.8
Telephone Conversations 3.8
Impact of Decisions on Co-workers or Company Results 3.8
Spend Time Standing 3.7
Frequency of Decision Making 3.7
Spend Time Walking or Running 3.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.7
Exposed to Minor Burns, Cuts, Bites, or Stings 3.5
Exposed to High Places 3.5
Exposed to Cramped Work Space, Awkward Positions 3.5
Written Letters and Memos 3.2
Level of Competition 3.1
Spend Time Making Repetitive Motions 3.1
Physical Proximity 3.0
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.9
Degree of Automation 2.9
Dealing With Unpleasant, Angry, or Discourteous People 2.9
Conflict Situations 2.8

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: Science 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 48.8%
Some College Courses 20.6%
Post-Secondary Certificate 13.5%
Associate's Degree (or other 2-year degree) 13.5%
Less than a High School Diploma 1.8%
Bachelor's Degree 1.8%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.6
Conventional 4.6
Investigative 3.2

Work styles

Dependability 4.0
Attention to Detail 3.0
Cautiousness 2.7
Stress Tolerance 2.0
Integrity 1.9
Self-Control 1.7

Interest areas

Physical Science 3.8
Engineering 3.8
Physical/Manual Labor 3.3
Mechanics/Electronics 2.8
Mathematics/Statistics 2.1
Transportation/Machine Operation 1.7
Life Science 1.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$37k10th$46k25th$57kMedian$71k75th$88k90th
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.
129k2024133k2034 (proj.)+3.3% · 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 $37,270
25th percentile $45,660
Median (50th) $57,090
75th percentile $71,400
90th percentile $88,460
People employed 127,410

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 124,240 $57,130
Wholesale Trade · Sector 1,260 $54,190
Administrative and Support and Waste Management and Remediation Services · Sector 1,020 $51,250
Professional, Scientific, and Technical Services · Sector 660 $76,870
Temporary Help Services · National industry 630 $53,760
Testing Laboratories and Services · National industry $78,140
Other Services (except Public Administration) · Sector $55,710

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
Manufacturing · Sector 11.78× 124,240
Temporary Help Services · National industry 0.29× 630
Wholesale Trade · Sector 0.25× 1,260
Administrative and Support and Waste Management and Remediation Services · Sector 0.14× 1,020
Professional, Scientific, and Technical Services · Sector 0.07× 660

Part of the Advanced Manufacturing career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Chemical Equipment Operators and Tenders sits at the 28th percentile of AI task-overlap and the 41st 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 Chemical Equipment Operators and Tenders Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders Chemical Plant and System Operators Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders Biomass Plant Technicians Pump Operators, Except Wellhead Pumpers Chemical Engineers 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 Chemical Equipment 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

Chemical Equipment Operators and Tenders show 28th-percentile AI task overlap — and about 14,400 annual U.S. openings

  • Chemical Equipment Operators and Tenders rank in the 28th 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 14,400 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 (+3.3%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $57,090, across about 127,410 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Chemical Equipment Operators and Tenders show 28th-percentile AI task overlap — and about 14,400 annual U.S. openings

• Chemical Equipment Operators and Tenders rank in the 28th 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 14,400 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 (+3.3%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $57,090, across about 127,410 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Chemical Equipment Operators and Tenders". https://singulariki.com/roles/role-51-9011-00
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. "Chemical Equipment 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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-51-9011-00

APA

Singulariki. (2026). Chemical Equipment Operators and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-9011-00

BibTeX
@misc{singulariki-role-51-9011-00,
  title  = {Chemical Equipment 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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-51-9011-00}
}

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

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