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Aerospace Engineering and Operations Technologists and Technicians

Occupation · SOC 17-3021.00

Operate, install, adjust, and maintain integrated computer/communications systems, consoles, simulators, and other data acquisition, test, and measurement instruments and equipment, which are used to launch, track, position, and evaluate air and space vehicles. May record and interpret test data.

Also called: Engineering Technician · Instrumentation Technician · Systems Test Technician · Test Technician · Avionics Installation Technician · Avionics Test Technician · Engineering Test Technician · Flight Test Instrument Technician · Aerographer · Aerospace Assembler · Aerospace Engineering Technologist · Aerospace Mechanic

Job family: Architecture and Engineering Occupations

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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.

59th-percentile task overlap — yet about 900 openings a year (+8.1% 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 58th 0.4
LLM task exposure, γ (OpenAI / Eloundou) Moderate 46th 0.6
AI assistant applicability (Microsoft) High 75th 0.2

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.

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 0.5 · 46th 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 Growing fast · +8.1% by 2034
Projected annual openings 900
Employment 2024 → 2034 9,300 → 10,100

“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.

26% mean task exposure (2025)
48th percentile of 427 placed occupations
−7 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Mechanical Engineering Technicians · 3115 26% 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 12 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.

  • Operate, test, and troubleshoot uncrewed aerial systems, commonly known as drones, to ensure optimal performance.

Work activities

Knowledge, skills & abilities

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

Knowledge

Mechanical 4.5
Engineering and Technology 4.3
Mathematics 3.9
Production and Processing 3.8
Customer and Personal Service 3.7
English Language 3.4
Administrative 3.4
Physics 3.3
Computers and Electronics 3.3
Education and Training 3.0

Abilities

Oral Comprehension 4.0
Written Comprehension 4.0
Oral Expression 4.0
Problem Sensitivity 3.9
Deductive Reasoning 3.9
Inductive Reasoning 3.9
Information Ordering 3.9
Near Vision 3.9
Written Expression 3.8
Flexibility of Closure 3.4
Perceptual Speed 3.3
Visualization 3.3
Category Flexibility 3.1
Selective Attention 3.1
Control Precision 3.1
Speech Recognition 3.1
Speech Clarity 3.1

Essential skills

Critical Thinking 3.9
Reading Comprehension 3.8
Active Listening 3.6
Speaking 3.6
Writing 3.1
Science 3.1
Monitoring 3.1

Transferable skills

Operations Monitoring 3.8
Quality Control Analysis 3.8
Complex Problem Solving 3.5
Troubleshooting 3.3
Judgment and Decision Making 3.3
Time Management 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.

Showing the top 40 of 49.

Tools & technology

Example Category
Apache Hadoop Data base management system software Hot technology
Atlassian JIRA Project management software Hot technology
Autodesk AutoCAD Computer aided design CAD software Hot technology
C++ Object or component oriented development software Hot technology
Dassault Systemes SolidWorks Computer aided design CAD software Hot technology
Extensible markup language XML Enterprise application integration software Hot technology
JavaScript Web platform development software Hot technology
JUnit Program testing software Hot technology
Linux Operating system software Hot technology
Microsoft Access Data base user interface and query 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 Project Project management software Hot technology
Microsoft SharePoint Document management software Hot technology
Microsoft SQL Server Data base user interface and query software Hot technology
Microsoft Visio Process mapping and design software Hot technology
Microsoft Word Word processing software Hot technology
Oracle Database Data base user interface and query software Hot technology
Oracle Java Object or component oriented development software Hot technology
Python Object or component oriented development software Hot technology
Red Hat Enterprise Linux Operating system software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Selenium Program testing software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
UNIX Operating system software Hot technology
Apache JMeter Object or component oriented development software
Bugzilla Program testing software
Computerized numerical control CNC software Industrial control software
Customer information control system CICS Transaction server software
Dassault Systemes CATIA Computer aided design CAD software
Data acquisition software Analytical or scientific software
Debugging software Program testing software
Graphical user interface GUI design software Graphical user interface development software
Hewlett Packard LoadRunner Program testing software
Inventory software Inventory management software
Job control language JCL Operating system software
National Instruments LabVIEW Development environment software
Vibration analysis software Analytical or scientific 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.

Importance of Being Exact or Accurate 5.0
Indoors, Environmentally Controlled 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.7
E-Mail 4.7
Telephone Conversations 4.5
Work With or Contribute to a Work Group or Team 4.5
Time Pressure 4.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.4
Impact of Decisions on Co-workers or Company Results 4.3
Frequency of Decision Making 4.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.1
Freedom to Make Decisions 4.1
Contact With Others 4.0
Coordinate or Lead Others in Accomplishing Work Activities 3.9
Exposed to Hazardous Conditions 3.8
Consequence of Error 3.8
Deal With External Customers or the Public in General 3.7
Determine Tasks, Priorities and Goals 3.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.6
Health and Safety of Other Workers 3.5
Level of Competition 3.4
Exposed to Cramped Work Space, Awkward Positions 3.4
Importance of Repeating Same Tasks 3.4
Work Outcomes and Results of Other Workers 3.2
Exposed to Contaminants 3.1
Spend Time Sitting 3.1
Physical Proximity 3.1
Spend Time Standing 2.9
Spend Time Bending or Twisting Your Body 2.9
Exposed to Hazardous Equipment 2.9
Conflict Situations 2.8
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.6
Spend Time Making Repetitive Motions 2.6
Exposed to Minor Burns, Cuts, Bites, or Stings 2.6
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.4
Dealing With Unpleasant, Angry, or Discourteous People 2.4
Written Letters and Memos 2.3
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 2.2
Exposed to High Places 2.0
Spend Time Walking or Running 2.0

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
Associate's degree · 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: Engineering , Engineering/Engineering-Related Technologies/Technicians , Mechanic and Repair Technologies/Technicians , Military Technologies and Applied Sciences . 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.

Post-Secondary Certificate 39.2%
High School Diploma 19.7%
Bachelor's Degree 7.9%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.5
Conventional 5.3
Investigative 5.1

Interest areas

Engineering 6.4
Mechanics/Electronics 6.2
Information Technology 4.2
Physical Science 3.9
Mathematics/Statistics 3.7
Physical/Manual Labor 2.6
Transportation/Machine Operation 2.2

Work styles

Dependability 4.0
Attention to Detail 3.0
Cautiousness 2.6
Integrity 2.1
Intellectual Curiosity 1.9
Perseverance 1.8

Wages & employment

U.S. · annual wages (BLS OEWS)

$54k10th$65k25th$80kMedian$102k75th$120k90th
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.
9k202410k2034 (proj.)+8.1% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $53,730
25th percentile $64,570
Median (50th) $79,830
75th percentile $102,220
90th percentile $120,440
People employed 9,060

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 4,730 $80,390
Professional, Scientific, and Technical Services · Sector 3,330 $75,390
Engineering Services · National industry 1,930 $73,460
Educational Services · Sector 520 $87,360
Transportation and Warehousing · Sector 200 $131,540
Management of Companies and Enterprises · Sector 110 $123,270
Administrative and Support and Waste Management and Remediation Services · Sector 90 $111,350
Temporary Help Services · National industry $60,460

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
Engineering Services · National industry 28.41× 1,930
Manufacturing · Sector 6.31× 4,730
Professional, Scientific, and Technical Services · Sector 5.26× 3,330
Management of Companies and Enterprises · Sector 0.67× 110
Educational Services · Sector 0.65× 520
Transportation and Warehousing · Sector 0.46× 200

Part of the Advanced Manufacturing and Supply Chain & Transportation career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Aerospace Engineering and Operations Technologists and Technicians sits at the 59th percentile of AI task-overlap and the 70th 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 Aerospace Engineering and Operations Technologists and Technicians Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Aircraft Mechanics and Service Technicians Robotics Technicians Electrical and Electronic Engineering Technologists and Technicians Industrial Engineering Technologists and Technicians Aerospace 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 Aerospace Engineering and Operations Technologists and Technicians — 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 48th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Aerospace Engineering and Operations Technologists and Technicians show 59th-percentile AI task overlap — and about 900 annual U.S. openings

  • Aerospace Engineering and Operations Technologists and Technicians rank in the 59th 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 900 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 growing fast (+8.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $79,830, across about 9,060 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Aerospace Engineering and Operations Technologists and Technicians show 59th-percentile AI task overlap — and about 900 annual U.S. openings

• Aerospace Engineering and Operations Technologists and Technicians rank in the 59th 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 900 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 growing fast (+8.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $79,830, across about 9,060 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Aerospace Engineering and Operations Technologists and Technicians". https://singulariki.com/roles/role-17-3021-00
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. "Aerospace Engineering and Operations Technologists and Technicians." 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-17-3021-00

APA

Singulariki. (2026). Aerospace Engineering and Operations Technologists and Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-17-3021-00

BibTeX
@misc{singulariki-role-17-3021-00,
  title  = {Aerospace Engineering and Operations Technologists and Technicians},
  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-17-3021-00}
}

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

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