Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 43-3021.00
Compile, compute, and record billing, accounting, statistical, and other numerical data for billing purposes. Prepare billing invoices for services rendered or for delivery or shipment of goods.
Also called: Billing Clerk · Billing Coordinator · Pre-Audit Clerk · Statement Clerk · Account Services Representative (Accounts Services Rep) · Biller · Item Processing Clerk (IP Clerk) · Medical Biller · Statement Distribution Clerk · Statement Services Representative (Statement Services Rep) · Account Clerk · Accounting Assistant
Job family: Office and Administrative Support Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-43-3021-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
80th-percentile task overlap — yet about 42,200 openings a year (-0.4% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 89th | 1.3 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 72nd | 0.9 | |
| AI assistant applicability (Microsoft) High | 74th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.7), with simple added tooling (β 0.8), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 1.0 · 91st percentile among occupations · High
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Operate typing, adding, calculating, or billing machines. | 0.7% | |
| Prepare itemized statements, bills, or invoices and record amounts due for items purchased or services rendered. | 0.5% | |
| Resolve discrepancies in accounting records. | 0.5% | |
| Verify accuracy of billing data and revise any errors. | 0.3% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -0.4% by 2034 |
| Projected annual openings | 42,200 |
| Employment 2024 → 2034 | 429,800 → 427,900 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Accounting and Bookkeeping Clerks · 4311 | 64% | Gradient 4 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Reading Comprehension | 3.6 | |
| Mathematics | 3.3 | |
| Active Listening | 3.1 | |
| Speaking | 3.1 | |
| Critical Thinking | 3.1 | |
| Monitoring | 3.1 | |
| Writing | 3.0 | |
| Active Learning | 2.8 |
| Written Comprehension | 3.6 | |
| Near Vision | 3.6 | |
| Oral Expression | 3.5 | |
| Information Ordering | 3.5 | |
| Oral Comprehension | 3.4 | |
| Written Expression | 3.4 | |
| Speech Recognition | 3.4 | |
| Problem Sensitivity | 3.3 | |
| Speech Clarity | 3.3 | |
| Deductive Reasoning | 3.1 | |
| Category Flexibility | 3.1 | |
| Number Facility | 3.1 | |
| Inductive Reasoning | 3.0 | |
| Mathematical Reasoning | 2.9 | |
| Flexibility of Closure | 2.9 | |
| Selective Attention | 2.8 | |
| Perceptual Speed | 2.6 | |
| Memorization | 2.5 |
| Time Management | 3.1 | |
| Social Perceptiveness | 2.9 | |
| Service Orientation | 2.9 | |
| Complex Problem Solving | 2.9 | |
| Judgment and Decision Making | 2.9 | |
| Coordination | 2.8 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 48.
Showing the top 40 of 54.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
Share of people in this occupation at each level of education.
| Some College Courses | 51.5% | |
| High School Diploma | 20.7% | |
| Post-Secondary Certificate | 16.6% | |
| Associate's Degree (or other 2-year degree) | 9.2% | |
| Bachelor's Degree | 2.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Conventional | 7.0 | |
| Realistic | 2.8 | |
| Enterprising | 2.8 | |
| Investigative | 1.6 |
| Accounting | 6.6 | |
| Office Work | 6.4 | |
| Finance | 2.7 | |
| Management/Administration | 1.9 | |
| Information Technology | 1.8 | |
| Health Care Service | 1.8 | |
| Mathematics/Statistics | 1.7 | |
| Human Resources | 1.6 |
| Dependability | 3.0 | |
| Attention to Detail | 2.7 | |
| Integrity | 2.1 | |
| Cautiousness | 1.8 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $35,760 |
| 25th percentile | $40,260 |
| Median (50th) | $47,170 |
| 75th percentile | $56,350 |
| 90th percentile | $64,990 |
| People employed | 417,500 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Health Care and Social Assistance · Sector | 180,730 | $46,880 |
| Professional, Scientific, and Technical Services · Sector | 55,820 | $47,740 |
| Management of Companies and Enterprises · Sector | 29,410 | $48,730 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 28,910 | $46,740 |
| Finance and Insurance · Sector | 19,540 | $47,910 |
| Wholesale Trade · Sector | 17,630 | $47,860 |
| Retail Trade · Sector | 14,750 | $43,990 |
| Transportation and Warehousing · Sector | 13,850 | $42,480 |
| Construction · Sector | 10,410 | $50,090 |
| Information · Sector | 8,450 | $50,350 |
| Manufacturing · Sector | 8,340 | $49,080 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 6,620 | $45,130 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Offices of Optometrists · National industry | 11.5× | 4,750 |
| Offices of Chiropractors · National industry | 10.91× | 4,310 |
| Ambulance Services · National industry | 5.62× | 2,500 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 5.13× | 6,620 |
| Offices of Mental Health Practitioners (except Physicians) · National industry | 4.95× | 3,240 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 4.95× | 4,150 |
| Management of Companies and Enterprises · Sector | 3.87× | 29,410 |
| Health Care and Social Assistance · Sector | 2.89× | 180,730 |
Part of the Financial Services career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Billing and Posting Clerks — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 100th percentile of 427 international occupations.
Billing and Posting Clerks show 80th-percentile AI task overlap — and about 42,200 annual U.S. openings
Billing and Posting Clerks show 80th-percentile AI task overlap — and about 42,200 annual U.S. openings • Billing and Posting Clerks rank in the 80th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 42,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be declining (-0.4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $47,170, across about 417,500 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Billing and Posting Clerks". https://singulariki.com/roles/role-43-3021-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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.
Singulariki. "Billing and Posting 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/roles/role-43-3021-00
Singulariki. (2026). Billing and Posting Clerks. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-43-3021-00
@misc{singulariki-role-43-3021-00,
title = {Billing and Posting 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/roles/role-43-3021-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.