Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Stockers and Order Fillers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Postal Service Mail Sorters, Processors, and Processing Machine Operators and Stockers and Order Fillers on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Postal Service Mail Sorters, Processors, and Processing Machine Operators | Stockers and Order Fillers |
|---|---|---|
| Median pay | $56,530 | $37,090 |
| Employment | 111,930 | 2,779,530 |
| Employment outlook (2024–34) · BLS projection | Declining (-8.4%) | Growing fast (+8.5%) |
| Annual openings · BLS projection | 7,800 | 472,300 |
| Typical education · O*NET | Usually requires a high school diploma or GED, though some occupations may not. | Usually requires a high school diploma or GED, though some occupations may not. |
| AI exposure · published exposure studies | Low · 14th pct | Low · 33rd pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 78th pct · 41% of tasks | — |
| Observed AI use · Anthropic Economic Index | — | — |
| Mostly remote-capable · Dingel–Neiman | No | — |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Near Vision, Manual Dexterity, Monitoring, Written Comprehension, Information Ordering, Category Flexibility, Perceptual Speed, Multilimb Coordination, Static Strength, English Language, Reading Comprehension, Speaking, Critical Thinking, Coordination, Oral Comprehension, Oral Expression, Problem Sensitivity, Deductive Reasoning, Finger Dexterity, Trunk Strength, Speech Recognition, Speech Clarity, Active Listening, Judgment and Decision Making, Time Management, Inductive Reasoning, Selective Attention, Arm-Hand Steadiness, Extent Flexibility, Social Perceptiveness, Far Vision, Service Orientation, Customer and Personal Service.
Specific to Postal Service Mail Sorters, Processors, and Processing Machine Operators
- Operations Monitoring
- Control Precision
- Operation and Control
- Complex Problem Solving
- Written Expression
- Reaction Time
- Production and Processing
Specific to Stockers and Order Fillers
- Public Safety and Security
- Transportation
- Dynamic Strength
- Stamina
- Gross Body Coordination
- Visual Color Discrimination
- Depth Perception
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Spreadsheet software , Office suite software , Electronic mail software , Word processing software , Enterprise resource planning ERP software , Data base user interface and query software , Inventory management software .
Specific to Postal Service Mail Sorters, Processors, and Processing Machine Operators
Full profiles
This page is a summary. See the complete source-backed profile for Postal Service Mail Sorters, Processors, and Processing Machine Operators or Stockers and Order Fillers — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Mail Clerks and Mail Machine Operators, Except Postal Service
- Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Shipping, Receiving, and Inventory Clerks
- Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Postal Service Clerks
- Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Office Machine Operators, Except Computer
- Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Weighers, Measurers, Checkers, and Samplers, Recordkeeping
- Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Data Entry Keyers
- Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Laborers and Freight, Stock, and Material Movers, Hand
- Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Recycling and Reclamation Workers
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Stockers and Order Fillers." 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/postal-service-mail-sorters-processors-and-processing-machine-operators-vs-stockers-and-order-fillers
Singulariki. (2026). Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Stockers and Order Fillers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/postal-service-mail-sorters-processors-and-processing-machine-operators-vs-stockers-and-order-fillers
@misc{singulariki-postal-service-mail-sorters-processors-and-processing-machine-operators-vs-stockers-and-order-fillers,
title = {Postal Service Mail Sorters, Processors, and Processing Machine Operators vs Stockers and Order Fillers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/postal-service-mail-sorters-processors-and-processing-machine-operators-vs-stockers-and-order-fillers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.