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Postal Service Mail Sorters, Processors, and Processing Machine Operators vs File Clerks

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 File Clerks 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.”

Postal Service Mail Sorters, Processors, and Processing Machine Operators File Clerks
Median pay · BLS OEWS
$56,530
$41,270
Employment · BLS OEWS
111,930
78,980
AI exposure (percentile) · task overlap, not automation
14th pct
80th pct

At a glance

Dimension Postal Service Mail Sorters, Processors, and Processing Machine Operators File Clerks
Median pay $56,530 $41,270
Employment 111,930 78,980
Employment outlook (2024–34) · BLS projection Declining (-8.4%) Declining (-15.9%)
Annual openings · BLS projection 7,800 7,300
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 High · 80th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 78th pct · 41% of tasks 69th pct · 37% of tasks
Observed AI use · Anthropic Economic Index — Automation-leaning (48.9%)
Mostly remote-capable · Dingel–Neiman No Yes

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, Monitoring, Written Comprehension, Information Ordering, Category Flexibility, Perceptual Speed, English Language, Reading Comprehension, Speaking, Critical Thinking, Coordination, Oral Comprehension, Oral Expression, Problem Sensitivity, Deductive Reasoning, Speech Recognition, Speech Clarity, Active Listening, Judgment and Decision Making, Time Management, Inductive Reasoning, Selective Attention, Social Perceptiveness, Far Vision, Service Orientation, Complex Problem Solving, Written Expression, Customer and Personal Service.

Specific to Postal Service Mail Sorters, Processors, and Processing Machine Operators

  • Manual Dexterity
  • Multilimb Coordination
  • Static Strength
  • Finger Dexterity
  • Trunk Strength
  • Operations Monitoring
  • Arm-Hand Steadiness
  • Control Precision

Specific to File Clerks

  • Administrative
  • Law and Government
  • Computers and Electronics
  • Telecommunications
  • Mathematics
  • Writing
  • Public Safety and Security
  • Fluency of Ideas

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 , Document management software , Word processing software , Data base user interface and query software , Optical character reader OCR or scanning software .

Specific to Postal Service Mail Sorters, Processors, and Processing Machine Operators

Specific to File Clerks

Full profiles

This page is a summary. See the complete source-backed profile for Postal Service Mail Sorters, Processors, and Processing Machine Operators or File Clerks — 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.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Postal Service Mail Sorters, Processors, and Processing Machine Operators vs File Clerks." 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-file-clerks

APA

Singulariki. (2026). Postal Service Mail Sorters, Processors, and Processing Machine Operators vs File Clerks. 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-file-clerks

BibTeX 
@misc{singulariki-postal-service-mail-sorters-processors-and-processing-machine-operators-vs-file-clerks,
  title  = {Postal Service Mail Sorters, Processors, and Processing Machine Operators vs File Clerks},
  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-file-clerks}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.