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Calibration Technologists and Technicians

Occupation · SOC 17-3028.00

Execute or adapt procedures and techniques for calibrating measurement devices, by applying knowledge of measurement science, mathematics, physics, chemistry, and electronics, sometimes under the direction of engineering staff. Determine measurement standard suitability for calibrating measurement devices. May perform preventive maintenance on equipment. May perform corrective actions to address identified calibration problems.

Also called: Calibration Coordinator · Calibration Engineer · Calibration Specialist · Calibration Technician · Calibration Technologist · Certified Calibration Technician · Diagnostic Technician (Diagnostic Tech) · Electromechanical Equipment Tester · Electronic Instrument Testing Technician · Electronics Calibration Technician · Electronics Technician · Equipment Technician

Job family: Architecture and Engineering Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-17-3028-00/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.

66th-percentile task overlap — yet about 1,400 openings a year (+4.7% 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
LLM task exposure, γ (OpenAI / Eloundou) Moderate 49th 0.6
AI assistant applicability (Microsoft) High 83rd 0.3

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.4), 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.

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 · +4.7% by 2034
Projected annual openings 1,400
Employment 2024 → 2034 15,800 → 16,500

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

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.

Work activities

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 In demand
The MathWorks MATLAB Analytical or scientific software Hot technology In demand
Apple macOS Operating system software Hot technology
Autodesk AutoCAD Computer aided design CAD software Hot technology
Autodesk AutoCAD Civil 3D Computer aided design CAD software Hot technology
Bentley MicroStation Computer aided design CAD software Hot technology
Dassault Systemes SolidWorks Computer aided design CAD software Hot technology
Linux Operating system software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Project Project management software Hot technology
MathWorks Simulink Analytical or scientific software In demand
Minitab Analytical or scientific software
National Instruments LabVIEW Development environment software

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-Related Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 6.3
Conventional 5.6
Investigative 4.1

Interest areas

Mechanics/Electronics 6.1
Engineering 5.7
Physical Science 3.7
Mathematics/Statistics 3.7
Physical/Manual Labor 2.4
Information Technology 2.0
Office Work 1.6

Work styles

Attention to Detail 3.0
Dependability 3.0
Cautiousness 2.5
Intellectual Curiosity 1.9
Integrity 1.8
Achievement Orientation 1.8

Wages & employment

U.S. · annual wages (BLS OEWS)

$45k10th$52k25th$65kMedian$84k75th$105k90th
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.
16k202417k2034 (proj.)+4.7% · 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 $44,730
25th percentile $52,250
Median (50th) $65,040
75th percentile $83,600
90th percentile $105,440
People employed 15,320

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 5,260 $66,390
Professional, Scientific, and Technical Services · Sector 4,570 $59,220
Testing Laboratories and Services · National industry 2,860 $57,530
Wholesale Trade · Sector 1,520 $63,420
Other Services (except Public Administration) · Sector 1,030 $66,270
Transportation and Warehousing · Sector 730 $83,230
Construction · Sector 620 $78,430
Mining, Quarrying, and Oil and Gas Extraction · Sector 520 $81,000
Engineering Services · National industry 480 $61,360
Utilities · Sector 230 $94,250
Information · Sector 230 $48,300
Administrative and Support and Waste Management and Remediation Services · Sector 220 $74,130

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
Testing Laboratories and Services · National industry 168.92× 2,860
Mining, Quarrying, and Oil and Gas Extraction · Sector 9.13× 520
Professional, Scientific, and Technical Services · Sector 4.27× 4,570
Engineering Services · National industry 4.18× 480
Manufacturing · Sector 4.15× 5,260
Utilities · Sector 3.99× 230
Wholesale Trade · Sector 2.53× 1,520
Other Services (except Public Administration) · Sector 2.34× 1,030

Part of the Advanced Manufacturing and Energy & Natural Resources career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Calibration Technologists and Technicians sits at the 66th percentile of AI task-overlap and the 55th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Calibration Technologists and Technicians Inspectors, Testers, Sorters, Samplers, and Weighers Medical Equipment Repairers Robotics Technicians Electrical and Electronic Engineering Technologists and Technicians Aerospace Engineering and Operations Technologists and Technicians Electronics Engineers, Except Computer 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 Calibration Technologists and Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Calibration Technologists and Technicians show 66th-percentile AI task overlap — and about 1,400 annual U.S. openings

  • Calibration Technologists and Technicians rank in the 66th 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 1,400 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 (+4.7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $65,040, across about 15,320 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Calibration Technologists and Technicians show 66th-percentile AI task overlap — and about 1,400 annual U.S. openings

• Calibration Technologists and Technicians rank in the 66th 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 1,400 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 (+4.7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $65,040, across about 15,320 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Calibration Technologists and Technicians". https://singulariki.com/roles/role-17-3028-00
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. "Calibration 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. Accessed June 7, 2026. https://singulariki.com/roles/role-17-3028-00

APA

Singulariki. (2026). Calibration Technologists and Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-17-3028-00

BibTeX
@misc{singulariki-role-17-3028-00,
  title  = {Calibration 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. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-17-3028-00}
}

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

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