AI exposure by occupation, O*NET 43-5111.00

Will AI replace Weighers, Measurers, Checkers, and Samplers, Recordkeeping?

Weighers, Measurers, Checkers, and Samplers, Recordkeeping: AI can already handle 5 of 18 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 18 tasks O*NET 30.3 lists for Weighers, Measurers, Checkers, and Samplers, Recordkeeping, from most to least exposed. 5 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Compare product labels, tags, or tickets, shipping manifests, purchase orders, and bills of lading to verify accuracy of shipment contents, quality specifications, or weights. 90 Estimated Standard 4.5
Collect or prepare measurement, weight, or identification labels and attach them to products. 90 Estimated Standard 4.3
Store samples of finished products in labeled cartons and record their location. 90 Estimated Efficient 4.3
Sort products or materials into predetermined sequences or groupings for display, packing, shipping, or storage. 90 Estimated Standard 3.7
Communicate with customers and vendors to exchange information regarding products, materials, and services. 65 Observed Standard 4.0
Remove from stock products or loads not meeting quality standards, and notify supervisors or appropriate departments of discrepancies or shortages. 55 Estimated Standard 4.3
Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts. 55 Estimated Standard 4.3
Signal or instruct other workers to weigh, move, or check products. 55 Estimated Standard 4.0
Count or estimate quantities of materials, parts, or products received or shipped. 55 Estimated Standard 4.0
Fill orders for products and samples, following order tickets, and forward or mail items. 55 Estimated Efficient 3.9
Operate scalehouse computers to obtain weight information about incoming shipments such as those from waste haulers. 55 Estimated Standard 3.8
Collect product samples and prepare them for laboratory analysis or testing. 55 Estimated Efficient 3.8
Transport materials, products, or samples to processing, shipping, or storage areas, manually or using conveyors, pumps, or hand trucks. 55 Estimated Efficient 3.7
Unload or unpack incoming shipments. 55 Estimated Efficient 3.3
Document quantity, quality, type, weight, test result data, and value of materials or products to maintain shipping, receiving, and production records and files. 20 Estimated Efficient 4.4
Weigh or measure materials, equipment, or products to maintain relevant records, using volume meters, scales, rules, or calipers. 20 Estimated Standard 4.4
Inspect products and examination records to determine the number of defects per worker and the reasons for examiners' rejections. 20 Estimated Efficient 4.3
Maintain, monitor, and clean work areas, such as recycling collection sites, drop boxes, counters and windows, and areas around scale houses. 12 Estimated No tier 3.5

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 17 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 95% of the role's importance-weighted task work. 95% of the work is something AI can address at some tier, and 5% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
53,300
Median annual wage
$46,380
Middle half of earners
$39,180 to $54,850
Projected change, 2024 to 2034
-4.8%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Weighers, Measurers, Checkers, and Samplers, Recordkeeping and AI

Will AI replace Weighers, Measurers, Checkers, and Samplers, Recordkeeping?

AI already handles 5 of the 18 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 55 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -4.8% from 2024 to 2034.

What is the AI exposure of Weighers, Measurers, Checkers, and Samplers, Recordkeeping?

55 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 17 are estimated from each task's O*NET work activity.

Which Weighers, Measurers, Checkers, and Samplers, Recordkeeping tasks can AI already do?

The tasks with the highest exposure are: Compare product labels, tags, or tickets, shipping manifests, purchase orders, and bills of lading to verify accuracy of shipment contents, quality specifications, or weights; Collect or prepare measurement, weight, or identification labels and attach them to products; Store samples of finished products in labeled cartons and record their location. They are three of the 5 tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 95% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Weighers, Measurers, Checkers, and Samplers, Recordkeeping, and what do they earn?

53,300 people in the United States, with a median annual wage of $46,380 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -4.8% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Weighers, Measurers, Checkers, and Samplers, Recordkeeping. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/weighers-measurers-checkers-and-samplers-recordkeeping

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