Postal Service Clerks vs Postal Service Mail Sorters, Processors, and Processing Machine Operators
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Postal Service Clerks and Postal Service Mail Sorters, Processors, and Processing Machine Operators 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 Clerks | Postal Service Mail Sorters, Processors, and Processing Machine Operators |
|---|---|---|
| Median pay | $61,630 | $56,530 |
| Employment | 78,060 | 111,930 |
| Employment outlook (2024–34) · BLS projection | Declining (-3.5%) | Declining (-8.4%) |
| Annual openings · BLS projection | 6,100 | 7,800 |
| 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 | High · 74th pct | Low · 14th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 89th pct · 51% of tasks | 78th pct · 41% of tasks |
| Observed AI use · Anthropic Economic Index | — | — |
| Mostly remote-capable · Dingel–Neiman | No | 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: Oral Comprehension, Customer and Personal Service, Oral Expression, Near Vision, English Language, Active Listening, Written Comprehension, Speech Recognition, Speech Clarity, Speaking, Reading Comprehension, Service Orientation, Deductive Reasoning, Information Ordering, Category Flexibility, Manual Dexterity, Trunk Strength, Critical Thinking, Monitoring, Social Perceptiveness, Time Management, Problem Sensitivity, Inductive Reasoning, Perceptual Speed, Selective Attention, Arm-Hand Steadiness, Finger Dexterity, Judgment and Decision Making, Written Expression, Far Vision.
Specific to Postal Service Clerks
- Mathematics
- Sales and Marketing
- Administrative
- Computers and Electronics
- Transportation
- Mathematical Reasoning
- Number Facility
- Administration and Management
Specific to Postal Service Mail Sorters, Processors, and Processing Machine Operators
- Multilimb Coordination
- Static Strength
- Coordination
- Operations Monitoring
- Control Precision
- Extent Flexibility
- Operation and Control
- Complex Problem Solving
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: Enterprise resource planning ERP software , Time accounting software , Inventory management software , Point of sale POS software , Human resources software .
Specific to Postal Service Clerks
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 Clerks or Postal Service Mail Sorters, Processors, and Processing Machine Operators — 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 Clerks vs Postal Service Mail Carriers
- Postal Service Clerks vs Mail Clerks and Mail Machine Operators, Except Postal Service
- Postal Service Clerks vs Shipping, Receiving, and Inventory Clerks
- Postal Service Clerks vs Postmasters and Mail Superintendents
- Postal Service Clerks vs Couriers and Messengers
- Postal Service Clerks vs Order Clerks
- Postal Service Clerks vs Cargo and Freight Agents
- Postal Service Clerks vs Stockers and Order Fillers
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 Clerks vs Postal Service Mail Sorters, Processors, and Processing Machine Operators." 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-clerks-vs-postal-service-mail-sorters-processors-and-processing-machine-operators
Singulariki. (2026). Postal Service Clerks vs Postal Service Mail Sorters, Processors, and Processing Machine Operators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/postal-service-clerks-vs-postal-service-mail-sorters-processors-and-processing-machine-operators
@misc{singulariki-postal-service-clerks-vs-postal-service-mail-sorters-processors-and-processing-machine-operators,
title = {Postal Service Clerks vs Postal Service Mail Sorters, Processors, and Processing Machine Operators},
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-clerks-vs-postal-service-mail-sorters-processors-and-processing-machine-operators}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.