Career profile · 51-9061
Inspectors, Testers, Sorters, Samplers, and Weighers
Inspect, test, sort, sample, or weigh nonagricultural raw materials or processed, machined, fabricated, or assembled parts or products for defects, wear, and deviations from specifications. May use precision measuring instruments and complex test equipment.
What the work can involve
- Discard or reject products, materials, or equipment not meeting specifications.
- Mark items with details, such as grade or acceptance-rejection status.
- Measure dimensions of products to verify conformance to specifications, using measuring instruments, such as rulers, calipers, gauges, or micrometers.
- Notify supervisors or other personnel of production problems.
- Inspect, test, or measure materials, products, installations, or work for conformance to specifications.
- Write test or inspection reports describing results, recommendations, or needed repairs.
Selected core tasks from O*NET 31.0. Responsibilities vary by employer, specialization and experience.
Preparation and entry routes
This broad O*NET group commonly involves some prior preparation and on-the-job learning. Check the specific employer, occupational credential and state requirements.
Check the route for the specific occupation where you plan to work. Education, employer experience requirements, occupational licensing and industry certification can be separate steps.
Understand the different credentials →Skills used in this occupation
- Critical Thinking
- Writing
- Active Listening
- Reading Comprehension
- Speaking
Selected from the highest importance ratings available in O*NET 31.0. These describe the occupation, not a particular school's curriculum.
Knowledge to build
- Production and Processing
- English Language
- Customer and Personal Service
- Mechanical
- Mathematics
Selected from the highest importance ratings available in O*NET 31.0. These describe the occupation, not a particular school's curriculum.
Common work activities
- Monitoring Processes, Materials, or Surroundings
- Inspecting Equipment, Structures, or Materials
- Identifying Objects, Actions, and Events
- Communicating with Supervisors, Peers, or Subordinates
- Documenting/Recording Information
Selected from the highest importance ratings available in O*NET 31.0. These describe the occupation, not a particular school's curriculum.
Training subjects to investigate
The federal education-to-occupation crosswalk connects this role to the subjects below. These links do not endorse a school or guarantee that any particular award qualifies a graduate for the job.
Working conditions to consider
These are the most common published responses to selected O*NET work-setting questions. They describe occupation-level survey findings, not every employer or a particular job.
| Work-setting question | Most common response | Share giving that response |
|---|---|---|
| Contact With Others | Constant contact with others | 56.9%08/2020 · sample 21 |
| Exposed to Contaminants | Every day | 68.8%08/2020 · sample 22 |
| Exposed to Disease or Infections | Never | 99.5%08/2020 · sample 21 |
| Exposed to Hazardous Conditions | Never | 30.9%08/2020 · sample 22 |
| Spend Time Sitting | Less than half the time | 44.4%08/2020 · sample 22 |
| Spend Time Standing | About half the time | 43.6%08/2020 · sample 22 |
| Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls | Continually or almost continually | 42.5%08/2020 · sample 22 |
| Time Pressure | Once a week or more but not every day | 40.3%08/2020 · sample 21 |
| Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets | Every day | 93.0%08/2020 · sample 22 |
| Work Schedules | Regular (established routine, set schedule) | 73.8%08/2020 · sample 21 |
O*NET 31.0 Work Context, selected topics. Only unsuppressed source responses with sample size at least 10 are shown. A most-common response need not be a majority. Sampling uncertainty applies; source dates vary. Ask employers about actual schedules, accessibility, protective equipment and working conditions.
Software used in the workplace
Use these O*NET examples to ask how a course builds practical digital skills. They are workplace examples, not a required shopping list or confirmation of a school’s curriculum.
- Analytical or scientific software: Data analysis software, Design of experiments DOE software, Minitab, The MathWorks MATLAB
- Computer aided design CAD software: Autodesk AutoCAD, Computer assisted design software, Dassault Systemes CATIA, Dassault Systemes SolidWorks
- Computer aided manufacturing CAM software: Computer-aided inspection software, Mastercam computer-aided design and manufacturing software
- Content workflow software: Atlassian JIRA
- Data base management system software: Apache Hive, Apache Pig
- Data base user interface and query software: Data entry software, Database software, FileMaker Pro, Microsoft Access
- Desktop communications software: Skype
- Document management software: Microsoft SharePoint
- Electronic mail software: IBM Lotus Notes, IBM Notes, Microsoft Outlook
- Enterprise application integration software: Extensible markup language XML
- Enterprise resource planning ERP software: SAP software
- Industrial control software: Coordinate measuring machine software, Cybermetrics GAGETrak, Statistical process control SPC data collection devices, Verisurf Metrology
Selected categories and examples from O*NET 31.0 Software Skills. Products and employer requirements change. These examples are not endorsements; check the complete official occupation profile.
Physical demands and schedule evidence
BLS surveyed jobs in the broader occupation Inspectors, testers, sorters, samplers, and weighers (SOC 51-9061). These preliminary 2025 estimates describe work requirements across surveyed employers. Individual workplaces, adjustments and duties differ.
Explore 52 occupational requirement estimates
| Requirement | Share of workers | Standard error |
|---|---|---|
| Workers that had work schedule variability required This estimate is the mode for the category group. | 52.1% | 8.0 percentage points |
| Workers that had the ability to pause work This estimate is the mode for the category group. | 57.9% | 9.4 percentage points |
| Workers that had the ability to telework Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required on-the-job training This estimate is the mode for the category group. | 96.2% | 1.7 percentage points |
| Workers that required prior work experience | 48.6% | 10.4 percentage points |
| Workers that were not exposed to extreme cold This estimate is the mode for the category group. | 93.8% | 3.0 percentage points |
| Workers that were exposed to extreme cold, seldom | 3.8% | 2.5 percentage points |
| Workers that were exposed to extreme cold, occasionally Estimate is less than 5 percent. | <5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme cold, frequently Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme cold, constantly Estimate is less than 5 percent. | <5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme cold | 6.2% | 3.0 percentage points |
| Workers that were not exposed to extreme heat Estimate is greater than 95 percent. This estimate is the mode for the category group. | >95% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat, seldom Estimate is less than 5 percent. | <5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat, occasionally Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat, frequently Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat, constantly Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat Estimate is less than 5 percent. | <5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to quiet noise | 5.0% | 1.7 percentage points |
| Workers that were exposed to moderate noise This estimate is the mode for the category group. | 90.6% | 2.6 percentage points |
| Workers that were exposed to loud noise | 4.4% | 2.5 percentage points |
| Workers that were exposed to very loud noise Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that used personal protective equipment to mitigate exposure to noise | 22.0% | 7.1 percentage points |
| Workers that were not exposed to outdoors This estimate is the mode for the category group. | 78.0% | 11.1 percentage points |
| Workers that were exposed to outdoors, seldom | 1.6% | 1.3 percentage points |
| Workers that were exposed to outdoors, frequently Estimate is less than 5 percent. | <5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to outdoors, constantly | 4.6% | 3.4 percentage points |
| Workers that were exposed to outdoors | 22.0% | 11.1 percentage points |
| Workers that were allowed the choice of sitting or standing | 34.0% | 9.2 percentage points |
| Workers that were not allowed the choice of sitting or standing This estimate is the mode for the category group. | 66.0% | 9.2 percentage points |
| Workers that required climbing ladders, ropes, or scaffolds | 2.8% | 1.5 percentage points |
| Workers that required driving | 12.5% | 5.8 percentage points |
| Workers that required low postures, seldom | 17.6% | 4.0 percentage points |
| Workers that required low postures, occasionally | 29.6% | 9.2 percentage points |
| Workers that required low postures, frequently Estimate is less than 5 percent. | <5% | Not published The standard error is not available for this estimate. |
| Workers that required low postures, constantly Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required work in low postures | 49.0% | 8.8 percentage points |
| Workers that could choose to crawl when in low postures Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that could choose to stoop when in low postures | 35.2% | 7.2 percentage points |
| Workers that could choose to kneel when in low postures Estimate is less than 40 percent. | <40% | Not published The standard error is not available for this estimate. |
| Workers that could choose to crouch when in low postures | 34.8% | 9.3 percentage points |
| Workers that required reaching overhead, seldom | 5.8% | 2.3 percentage points |
| Workers that required reaching overhead, occasionally | 20.7% | 11.0 percentage points |
| Workers that required reaching overhead, frequently Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required reaching overhead, constantly Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required reaching overhead with one hand | 1.6% | 1.0 percentage points |
| Workers that required reaching overhead with both hands This estimate is the mode for the category group. | 24.9% | 10.9 percentage points |
| Workers that required reaching overhead | 26.5% | 10.6 percentage points |
| Workers that required a sedentary strength level | 10.9% | 4.9 percentage points |
| Workers that required a light strength level This estimate is the mode for the category group. | 45.4% | 10.6 percentage points |
| Workers that required a medium strength level | 43.0% | 11.5 percentage points |
| Workers that required a heavy strength level Estimate is less than 5 percent. | <5% | Not published The standard error is not available for this estimate. |
| Workers that required a very heavy strength level Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
Use this evidence to ask about the actual work environment and available accommodations. It is not a medical assessment or a reason to rule yourself out of an occupation.
BLS Occupational Requirements Survey, preliminary 2025, released January 16, 2026; samples collected August 2023–July 2025. Source bounds such as “less than” are preserved. Categories are not necessarily additive. Understanding standard errors.
Pay & employment outlook
Salary estimates for inspectors, testers, sorters, samplers, and weighers
The median divides workers into two equally sized groups by pay. It is not a starting salary, a school’s graduate outcome or a promise of employment. Lower percentiles are not automatically new graduates.
National outlook: 2025–2035
- Typical education for entry
- High school diploma or equivalent
- Related work experience
- None
- Typical on-the-job training
- Moderate-term on-the-job training
BLS national employment projections, 2025–2035. Openings include people leaving occupations or the labor force; these are not advertised vacancies. Education categories describe typical entry, not legal eligibility or a guarantee that any specific program is sufficient.
Compare wages across 51 state/DC estimates
| State | Annual median | Hourly median | Employment |
|---|---|---|---|
| Alabama | $40,010 | $19.24 | 13,120 |
| Alaska | $78,150 | $37.57 | 300 |
| Arizona | $52,100 | $25.05 | 11,120 |
| Arkansas | $44,570 | $21.43 | 5,880 |
| California | $54,300 | $26.11 | 61,130 |
| Colorado | $58,350 | $28.06 | 5,220 |
| Connecticut | $57,090 | $27.45 | 7,460 |
| Delaware | $57,190 | $27.50 | 1,020 |
| District of Columbia | $59,730 | $28.71 | 70 |
| Florida | $47,540 | $22.86 | 22,630 |
| Georgia | $46,130 | $22.18 | 19,980 |
| Hawaii | $59,740 | $28.72 | 650 |
| Idaho | $45,130 | $21.70 | 2,900 |
| Illinois | $47,920 | $23.04 | 31,700 |
| Indiana | $47,900 | $23.03 | 24,790 |
| Iowa | $50,740 | $24.40 | 7,230 |
| Kansas | $53,680 | $25.81 | 9,300 |
| Kentucky | $46,280 | $22.25 | 12,880 |
| Louisiana | $49,490 | $23.80 | 8,110 |
| Maine | $53,570 | $25.76 | 1,800 |
| Maryland | $61,790 | $29.71 | 4,600 |
| Massachusetts | $52,270 | $25.13 | 10,650 |
| Michigan | $44,490 | $21.39 | 27,980 |
| Minnesota | $57,170 | $27.49 | 9,710 |
| Mississippi | $40,670 | $19.55 | 6,970 |
| Missouri | $54,420 | $26.17 | 12,480 |
| Montana | $58,070 | $27.92 | 580 |
| Nebraska | $51,270 | $24.65 | 3,350 |
| Nevada | $49,280 | $23.69 | 4,040 |
| New Hampshire | $54,800 | $26.35 | 3,050 |
| New Jersey | $49,140 | $23.62 | 12,280 |
| New Mexico | $49,500 | $23.80 | 1,550 |
| New York | $49,990 | $24.03 | 19,790 |
| North Carolina | $46,430 | $22.32 | 19,700 |
| North Dakota | $50,820 | $24.43 | 1,800 |
| Ohio | $47,360 | $22.77 | 32,060 |
| Oklahoma | $49,630 | $23.86 | 7,430 |
| Oregon | $54,120 | $26.02 | 5,690 |
| Pennsylvania | $48,320 | $23.23 | 25,870 |
| Rhode Island | $54,940 | $26.41 | 1,790 |
| South Carolina | $46,890 | $22.54 | 13,360 |
| South Dakota | $47,240 | $22.71 | 1,090 |
| Tennessee | $45,760 | $22.00 | 17,140 |
| Texas | $46,210 | $22.22 | 56,390 |
| Utah | $48,910 | $23.52 | 6,630 |
| Vermont | $46,210 | $22.22 | 900 |
| Virginia | $49,590 | $23.84 | 9,830 |
| Washington | $64,420 | $30.97 | 12,010 |
| West Virginia | $47,010 | $22.60 | 2,720 |
| Wisconsin | $49,610 | $23.85 | 17,670 |
| Wyoming | $57,900 | $27.84 | 990 |
Metropolitan and nonmetropolitan wages
Search the 523 published local-area estimates for this occupation. Metropolitan areas can cross state lines; a city’s postal name is not necessarily the statistical area’s name.
Sources: BLS May 2025 OEWS public downloads and 2025–2035 employment projections, retrieved September 9, 2026. Unpublished estimates stay unavailable. “+” means BLS’s upper reporting threshold ($239,200 annually or $115 hourly). Wages exclude self-employment and nonwage benefits. How to interpret these figures.
Compare the route and prepare for work
Questions to test the fit
- What does an entry-level working day look like, and how does it differ from the experienced role described here?
- Which tasks, work environments and schedules would I enjoy or find difficult?
- What education, supervised practice and credentials do local employers actually request?
- Can I speak with someone in the occupation or arrange a suitable workplace visit?
- How does the complete training cost compare with my realistic budget and available routes?
Sources and attribution
This page includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under CC BY 4.0. Trade School Guides selects and organizes the material and adds explanatory guidance. USDOL/ETA has not approved, endorsed or tested these modifications. Occupation code: 51-9061.00.
Training connections: CIP 2020–SOC 2018 crosswalk. Snapshot: September 8, 2026. See the methodology.