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Nuclear Power Reactor Operators

Occupation · SOC 51-8011.00

Operate or control nuclear reactors. Move control rods, start and stop equipment, monitor and adjust controls, and record data in logs. Implement emergency procedures when needed. May respond to abnormalities, determine cause, and recommend corrective action.

Also called: Nuclear Control Operator · Nuclear Reactor Operator · Nuclear Station Operator (NSO) · Reactor Operator (RO) · Licensed Reactor Operator · Nuclear Control Room Operator · Nuclear Plant Operator (NPO) · Nuclear Power Reactor Operator · Nuclear Supervising Operator (NSO) · Nuclear Unit Operator · Control Operator · Control Room Agent

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-51-8011-00/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.

41st-percentile task overlap — yet about 400 openings a year (-15.3% 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 66th 0.8
LLM task exposure, γ (OpenAI / Eloundou) Moderate 41st 0.5
AI assistant applicability (Microsoft) Low 21st 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.3), and including AI-powered software (γ 0.5). 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 · 89th 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 Declining · -15.3% by 2034
Projected annual openings 400
Employment 2024 → 2034 5,700 → 4,900

“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.

28% mean task exposure (2025)
51st percentile of 427 placed occupations
−7 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Power Production Plant Operators · 3131 28% 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 20 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

Problem Sensitivity 4.1
Oral Comprehension 4.0
Written Comprehension 4.0
Oral Expression 4.0
Information Ordering 4.0
Deductive Reasoning 3.9
Inductive Reasoning 3.9
Perceptual Speed 3.9
Near Vision 3.9
Written Expression 3.6
Speech Clarity 3.5
Flexibility of Closure 3.4
Selective Attention 3.4
Speech Recognition 3.3
Category Flexibility 3.1
Far Vision 3.1

Knowledge

Physics 4.1
Mechanical 3.9
Public Safety and Security 3.7
Mathematics 3.6
Engineering and Technology 3.5
Chemistry 3.4
Design 3.0

Essential skills

Reading Comprehension 4.0
Active Listening 3.9
Critical Thinking 3.9
Monitoring 3.9
Writing 3.5
Speaking 3.3
Active Learning 3.1
Learning Strategies 3.0

Transferable skills

Operations Monitoring 4.0
Operation and Control 4.0
Complex Problem Solving 3.8
Judgment and Decision Making 3.5
Time Management 3.4
Coordination 3.3
Quality Control Analysis 3.3
Systems Analysis 3.1
Social Perceptiveness 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 Access Data base user interface and query software Hot technology
Microsoft Azure software Development environment software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Power Automate Enterprise application integration software Hot technology
Microsoft Power BI Business intelligence and data analysis software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft SharePoint Document management software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
Outage management system OMS Industrial control software In demand
Data logging software Data base user interface and query software
Plant information data entry software 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.

Face-to-Face Discussions with Individuals and Within Teams 5.0
Indoors, Environmentally Controlled 5.0
Telephone Conversations 5.0
Importance of Being Exact or Accurate 4.9
Work With or Contribute to a Work Group or Team 4.9
E-Mail 4.9
Contact With Others 4.7
Consequence of Error 4.6
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.5
Impact of Decisions on Co-workers or Company Results 4.5
Health and Safety of Other Workers 4.5
Coordinate or Lead Others in Accomplishing Work Activities 4.4
Time Pressure 4.3
Frequency of Decision Making 4.3
Importance of Repeating Same Tasks 4.1
Work Outcomes and Results of Other Workers 4.0
Physical Proximity 3.9
Exposed to Radiation 3.6
Spend Time Sitting 3.6
Conflict Situations 3.5
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.4
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.4
Written Letters and Memos 3.2
Determine Tasks, Priorities and Goals 3.0
Degree of Automation 3.0
Freedom to Make Decisions 3.0
Public Speaking 3.0
Dealing With Unpleasant, Angry, or Discourteous People 2.9
Exposed to Hazardous Conditions 2.7
Exposed to Contaminants 2.5
Indoors, Not Environmentally Controlled 2.5
Level of Competition 2.5
Spend Time Standing 2.5
Spend Time Making Repetitive Motions 2.4
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.4
Exposed to Hazardous Equipment 2.4
Exposed to Very Hot or Cold Temperatures 2.4
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 2.3
Outdoors, Exposed to All Weather Conditions 2.2
Pace Determined by Speed of Equipment 2.1

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — 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 50.1%
Post-Secondary Certificate 15.7%
Bachelor's Degree 15.3%
Associate's Degree (or other 2-year degree) 12.6%
Some College Courses 6.2%

Interests & work styles

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

Work styles

Dependability 8.0
Attention to Detail 7.0
Integrity 6.0
Cautiousness 5.0
Achievement Orientation 4.0
Self-Control 3.0
Stress Tolerance 2.7
Perseverance 2.2

Interest areas

Engineering 5.7
Mechanics/Electronics 5.1
Physical Science 4.0
Mathematics/Statistics 2.5

Career interests (Holland / RIASEC)

Realistic 5.4
Conventional 5.1
Investigative 3.1
Enterprising 2.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$99k10th$107k25th$123kMedian$132k75th$153k90th
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.
6k20245k2034 (proj.)-15.3% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $99,300
25th percentile $107,170
Median (50th) $122,610
75th percentile $131,520
90th percentile $152,690
People employed 5,720

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
Utilities · Sector 4,460 $122,810
Nuclear Electric Power Generation · National industry 4,310 $122,810
Professional, Scientific, and Technical Services · Sector 460 $113,130
Management of Companies and Enterprises · Sector 50 $122,470
Educational Services · Sector 30 $71,570

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
Nuclear Electric Power Generation · National industry 3128.13× 4,310
Utilities · Sector 207.48× 4,460
Professional, Scientific, and Technical Services · Sector 1.15× 460

Part of the Energy & Natural Resources career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Nuclear Power Reactor Operators sits at the 41st percentile of AI task-overlap and the 93rd 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 Nuclear Power Reactor Operators Water and Wastewater Treatment Plant and System Operators Hydroelectric Plant Technicians Chemical Plant and System Operators Gas Plant Operators Nuclear Technicians 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 Nuclear Power Reactor Operators — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 51st percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Nuclear Power Reactor Operators show 41st-percentile AI task overlap — and about 400 annual U.S. openings

  • Nuclear Power Reactor Operators rank in the 41st 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 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 declining (-15.3%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $122,610, across about 5,720 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Nuclear Power Reactor Operators show 41st-percentile AI task overlap — and about 400 annual U.S. openings

• Nuclear Power Reactor Operators rank in the 41st 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 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 declining (-15.3%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $122,610, across about 5,720 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Nuclear Power Reactor Operators". https://singulariki.com/roles/role-51-8011-00
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. "Nuclear Power Reactor Operators." 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-51-8011-00

APA

Singulariki. (2026). Nuclear Power Reactor Operators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-8011-00

BibTeX
@misc{singulariki-role-51-8011-00,
  title  = {Nuclear Power Reactor Operators},
  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-51-8011-00}
}

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

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