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Aviation Inspectors

Occupation · SOC 53-6051.01

Inspect aircraft, maintenance procedures, air navigational aids, air traffic controls, and communications equipment to ensure conformance with Federal safety regulations.

Also called: Aircraft Inspector · Aviation Safety Inspector (ASI) · Inspector · Quality Inspector · Aircraft Quality Control Inspector (Aircraft QC Inspector) · Airworthiness Safety Inspector · Avionics Safety Inspector · Manufacturing Aviation Safety Inspector (Manufacturing ASI) · Quality Control Inspector (QC Inspector) · RTS Inspector (Return to Service Inspector) · Aeronautical Inspector · Aerospace Inspector

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-53-6051-01/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.

44th-percentile task overlap — yet about 2,500 openings a year (+1.7% 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
Overall AI exposure (Felten et al.) Moderate 44th -0.2
LLM task exposure, γ (OpenAI / Eloundou) Moderate 49th 0.6
AI assistant applicability (Microsoft) Moderate 43rd 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.6). 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 · +1.7% by 2034
Projected annual openings 2,500
Employment 2024 → 2034 25,700 → 26,100

“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)
44th percentile of 427 placed occupations
−8 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Environmental and Occupational Health Inspectors and Associates · 3257 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 15 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.

  • Inspect uncrewed aircraft systems, such as drones, to ensure compliance with safety and operation regulations.

Work activities

Knowledge, skills & abilities

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

Knowledge

English Language 4.6
Mechanical 4.6
Public Safety and Security 4.5
Customer and Personal Service 4.4
Transportation 4.4
Education and Training 4.1
Production and Processing 3.9
Engineering and Technology 3.8
Mathematics 3.8
Administration and Management 3.7
Law and Government 3.5
Computers and Electronics 3.4
Design 3.4
Physics 3.4
Administrative 3.4

Abilities

Problem Sensitivity 4.1
Inductive Reasoning 4.1
Oral Comprehension 4.0
Deductive Reasoning 4.0
Near Vision 4.0
Written Comprehension 3.9
Oral Expression 3.9
Speech Clarity 3.8
Written Expression 3.6
Information Ordering 3.5
Speech Recognition 3.5
Perceptual Speed 3.4
Visualization 3.4
Far Vision 3.4

Essential skills

Critical Thinking 4.0
Reading Comprehension 3.9
Active Listening 3.9
Speaking 3.9
Writing 3.6
Monitoring 3.4

Transferable skills

Operations Monitoring 3.8
Quality Control Analysis 3.8
Complex Problem Solving 3.4
Troubleshooting 3.3
Judgment and Decision Making 3.3

Skills in demand

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

Showing the top 40 of 41.

Tools & technology

Example Category
IBM WebSphere MQ Cloud-based management software Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Adobe InDesign Desktop publishing software Hot technology
Adobe Photoshop Graphics or photo imaging software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Active Server Pages ASP Web platform development software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
SAS Analytical or scientific software Hot technology
Aircraft regulation databases Data base user interface and query software
Dassault Systemes CATIA Computer aided design CAD software
Robotic workstation software Industrial control software
Technical Data Management System TDMS Document management 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.

E-Mail 5.0
Telephone Conversations 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.9
Frequency of Decision Making 4.8
Consequence of Error 4.6
Impact of Decisions on Co-workers or Company Results 4.5
Importance of Being Exact or Accurate 4.5
Contact With Others 4.4
Freedom to Make Decisions 4.4
Determine Tasks, Priorities and Goals 4.4
Importance of Repeating Same Tasks 4.3
Deal With External Customers or the Public in General 4.2
Coordinate or Lead Others in Accomplishing Work Activities 4.2
Health and Safety of Other Workers 4.2
Work With or Contribute to a Work Group or Team 4.1
Work Outcomes and Results of Other Workers 4.1
Time Pressure 4.1
Physical Proximity 4.1
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.1
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.0
Indoors, Environmentally Controlled 3.9
Exposed to Very Hot or Cold Temperatures 3.9
Indoors, Not Environmentally Controlled 3.8
Exposed to Contaminants 3.8
Exposed to Cramped Work Space, Awkward Positions 3.7
Written Letters and Memos 3.7
Level of Competition 3.6
Outdoors, Exposed to All Weather Conditions 3.6
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.6
Spend Time Standing 3.5
In an Enclosed Vehicle or Operate Enclosed Equipment 3.4
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.3
Spend Time Bending or Twisting Your Body 3.2
Spend Time Making Repetitive Motions 3.2
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.1
Conflict Situations 3.1
Exposed to Hazardous Conditions 3.1
Exposed to Hazardous Equipment 3.1
Spend Time Sitting 3.1
Exposed to Minor Burns, Cuts, Bites, or Stings 2.8

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.

Education of current workers

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

Associate's Degree (or other 2-year degree) 33.6%
High School Diploma 29.2%
Post-Secondary Certificate 19.7%
Some College Courses 13.5%
Bachelor's Degree 3.9%

Interests & work styles

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

Work styles

Dependability 6.0
Attention to Detail 5.0
Integrity 4.0
Cautiousness 3.0

Career interests (Holland / RIASEC)

Conventional 5.7
Realistic 5.6
Investigative 4.1
Enterprising 2.6

Interest areas

Mechanics/Electronics 5.7
Engineering 4.7
Protective Service 2.8
Law 2.4
Transportation/Machine Operation 2.4
Management/Administration 2.3
Mathematics/Statistics 2.2
Information Technology 2.2

Wages & employment

U.S. · annual wages (BLS OEWS)

$40k10th$59k25th$86kMedian$105k75th$137k90th
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.
26k202426k2034 (proj.)+1.7% · 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 $40,090
25th percentile $58,650
Median (50th) $85,750
75th percentile $105,020
90th percentile $137,120
People employed 23,320

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 53-6051), not for the specialty alone.

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
Transportation and Warehousing · Sector 7,520 $79,860
Other Services (except Public Administration) · Sector 1,800 $40,830
Manufacturing · Sector 1,410 $81,920
Wholesale Trade · Sector 640 $45,960
Administrative and Support and Waste Management and Remediation Services · Sector 350 $76,780
Professional, Scientific, and Technical Services · Sector 310 $66,560
Retail Trade · Sector 190 $41,200
Engineering Services · National industry 120 $88,920
Management of Companies and Enterprises · Sector 70 $84,460
Temporary Help Services · National industry 50 $66,560

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
Transportation and Warehousing · Sector 6.73× 7,520
Other Services (except Public Administration) · Sector 2.69× 1,800
Manufacturing · Sector 0.73× 1,410
Wholesale Trade · Sector 0.7× 640
Engineering Services · National industry 0.69× 120
Administrative and Support and Waste Management and Remediation Services · Sector 0.26× 350
Professional, Scientific, and Technical Services · Sector 0.19× 310
Retail Trade · Sector 0.08× 190

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Aviation Inspectors sits at the 44th percentile of AI task-overlap and the 75th 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 Aviation Inspectors Ship Engineers Aircraft Mechanics and Service Technicians Inspectors, Testers, Sorters, Samplers, and Weighers Construction and Building Inspectors Airfield Operations Specialists Aerospace Engineering and Operations Technologists and Technicians Health and Safety Engineers, Except Mining Safety Engineers and Inspectors 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 Aviation Inspectors — 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 44th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Aviation Inspectors show 44th-percentile AI task overlap — and about 2,500 annual U.S. openings

  • Aviation Inspectors rank in the 44th 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 2,500 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 (+1.7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $85,750, across about 23,320 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Aviation Inspectors show 44th-percentile AI task overlap — and about 2,500 annual U.S. openings

• Aviation Inspectors rank in the 44th 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 2,500 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 (+1.7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $85,750, across about 23,320 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Aviation Inspectors". https://singulariki.com/roles/role-53-6051-01
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. "Aviation Inspectors." 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-53-6051-01

APA

Singulariki. (2026). Aviation Inspectors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-6051-01

BibTeX
@misc{singulariki-role-53-6051-01,
  title  = {Aviation Inspectors},
  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-53-6051-01}
}

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

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