AI Automation Index

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

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Weighers, Measurers, Checkers, and Samplers, Recordkeeping. Run the upskilling simulator.

E-E-A-T Verified
• Developed & audited by Gini Loh

AI Vulnerability

64% risk score

Median Salary

$46,380 / year

Growth Demand

Medium

Constituent Task Mix

We parsed O*NET's 18 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 28%
Medium Automation Risk (Cognitive/Technical) 72%
Low Automation Risk (Strategy/Leadership) 0%

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constituent Tasks

Document quantity, quality, type, weight, test result data, and value of materials or products to maintain shipping, receiving, and production records and files.

Routine cognitive or manual task with high vulnerability to automation.

Weigh or measure materials, equipment, or products to maintain relevant records, using volume meters, scales, rules, or calipers.

Routine cognitive or manual task with high vulnerability to automation.

Collect or prepare measurement, weight, or identification labels and attach them to products.

Semi-structured task combining routine and non-routine responsibilities.

Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts.

Routine cognitive or manual task with high vulnerability to automation.

Signal or instruct other workers to weigh, move, or check products.

Semi-structured task combining routine and non-routine responsibilities.

Collect product samples and prepare them for laboratory analysis or testing.

Semi-structured task combining routine and non-routine responsibilities.

Maintain, monitor, and clean work areas, such as recycling collection sites, drop boxes, counters and windows, and areas around scale houses.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Compare product labels, tags, or tickets, shipping manifests, purchase orders, and bills of lading to verify accuracy of shipment contents, quality specifications, or weights.

Semi-structured task combining routine and non-routine responsibilities.

Remove from stock products or loads not meeting quality standards, and notify supervisors or appropriate departments of discrepancies or shortages.

Semi-structured task combining routine and non-routine responsibilities.

Inspect products and examination records to determine the number of defects per worker and the reasons for examiners' rejections.

Routine cognitive or manual task with high vulnerability to automation.

Store samples of finished products in labeled cartons and record their location.

Routine cognitive or manual task with high vulnerability to automation.

Count or estimate quantities of materials, parts, or products received or shipped.

Semi-structured task combining routine and non-routine responsibilities.

Communicate with customers and vendors to exchange information regarding products, materials, and services.

Semi-structured task combining routine and non-routine responsibilities.

Fill orders for products and samples, following order tickets, and forward or mail items.

Semi-structured task combining routine and non-routine responsibilities.

Operate scalehouse computers to obtain weight information about incoming shipments such as those from waste haulers.

Semi-structured task combining routine and non-routine responsibilities.

Sort products or materials into predetermined sequences or groupings for display, packing, shipping, or storage.

Semi-structured task combining routine and non-routine responsibilities.

Transport materials, products, or samples to processing, shipping, or storage areas, manually or using conveyors, pumps, or hand trucks.

Semi-structured task combining routine and non-routine responsibilities.

Unload or unpack incoming shipments.

Semi-structured task combining routine and non-routine responsibilities.

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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