Community Sentiment
Do you agree?
Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Task-level automation exposure for Inspectors, Testers, Sorters, Samplers, and Weighers: 31 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
31 of 31 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
597,370 people hold this job — size, not growth
Projected 2025–35
66,700 openings a year · BLS line item
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$29,870 – $78,150
Highest medians
Lowest medians
State figures come from the 51-9061 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
31 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
7 tasks
5 tasks
19 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Discard or reject products, materials, or equipment not meeting specifications.
visual inspection — Material quality often needs hands-on or visual inspection
Mark items with details, such as grade or acceptance-rejection status.
physical manipulation — Marking workpieces is hands-on physical task
Measure dimensions of products to verify conformance to specifications, using measuring instruments, such as rulers, calipers, gauges, or micrometers.
physical manipulation — Hands-on dimensional measurement of workpieces
Notify supervisors or other personnel of production problems.
text generation — Notifying maintenance needs is routine messaging
Inspect, test, or measure materials, products, installations, or work for conformance to specifications.
physical manipulation — Hands-on dimensional measurement of workpieces
Write test or inspection reports describing results, recommendations, or needed repairs.
data analysis — Record production data into structured logs
Recommend necessary corrective actions, based on inspection results.
decision support — Generates improvement options; human tailors and owns
Read dials or meters to verify that equipment is functioning at specified levels.
visual inspection — Sensor/vision monitoring possible, but physical verification and accountability remain human
Make minor adjustments to equipment, such as turning setscrews to calibrate instruments to required tolerances.
physical manipulation — Physical calibration to specifications
Read blueprints, data, manuals, or other materials to determine specifications, inspection and testing procedures, adjustment methods, certification processes, formulas, or measuring instruments required.
information retrieval — Parse specs and materials from orders
Monitor production operations or equipment to ensure conformance to specifications, making necessary process or assembly adjustments.
visual inspection — Physical product flaw monitoring is on-machine
Record inspection or test data, such as weights, temperatures, grades, or moisture content, and quantities inspected or graded.
data analysis — Record production data into structured logs
Position products, components, or parts for testing.
physical manipulation — Mounting workpieces is physical loading
Remove defects, such as chips, burrs, or lap corroded or pitted surfaces.
physical manipulation — Hand finishing of metal edges with tools
Collect or select samples for testing or for use as models.
physical manipulation — Manual product sampling
Stack or arrange tested products for further processing, shipping, or packaging.
physical manipulation — Hands-on stacking of finished items
Check arriving materials to ensure that they match purchase orders, submitting discrepancy reports as necessary.
physical manipulation — Chemical/physical testing requires lab manipulation
Inspect or test raw materials, parts, or products to determine compliance with environmental standards.
physical manipulation — Chemical/physical testing requires lab manipulation
Analyze test data, making computations as necessary, to determine test results.
data analysis — AI analyzes test results against criteria
Compare colors, shapes, textures, or grades of products or materials with color charts, templates, or samples to verify conformance to standards.
visual inspection — Vision AI assists but physical comparison is human
Clean, maintain, calibrate, or repair measuring instruments or test equipment, such as dial indicators, fixed gauges, or height gauges.
physical manipulation — Hands-on repair of production machinery
Fabricate, install, position, or connect components, parts, finished products, or instruments for testing or operational purposes.
physical manipulation — Functional product testing is hands-on
Administer tests to assess whether engineers or operators are qualified to use equipment.
decision support — Capability assessment aided by records, human decides
Monitor machines that automatically measure, sort, or inspect products.
visual inspection — Sensor/vision monitoring possible, but physical verification and accountability remain human
Interpret legal requirements, provide safety information, or recommend compliance procedures to contractors, craft workers, engineers, or property owners.
decision support — Generates improvement options; human tailors and owns
Adjust, clean, or repair products or processing equipment to correct defects found during inspections.
physical manipulation — Hands-on repair of production machinery
Compute usable amounts of items in shipments.
visual inspection — Material quality often needs hands-on or visual inspection
Grade, classify, or sort products according to sizes, weights, colors, or other specifications.
visual inspection — Material quality often needs hands-on or visual inspection
Disassemble defective parts or components, such as inaccurate or worn gauges or measuring instruments.
physical manipulation — Disassembly requires hands-on tool use
Compute defect percentages or averages, using formulas and calculators.
visual inspection — Defect inspection of physical items needs presence
Weigh materials, products, containers, or samples to verify packaging weights or ingredient quantities.
physical manipulation — Physical measuring and dispensing of ingredients
Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.
<div class="giniloh-calculator-embed" data-calculator="inspectors-testers-sorters-samplers-and-weighers"></div>
<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.
Read Article ->