# Billing and Posting Clerks

> 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.

- **SOC code:** 43-3021.00
- **Canonical URL:** https://singulariki.com/roles/role-43-3021-00
- **Also known as:** Billing Clerk, Billing Coordinator, Pre-Audit Clerk, Statement Clerk, Account Services Representative (Accounts Services Rep), Biller, Item Processing Clerk (IP Clerk), Medical Biller
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Verify accuracy of billing data and revise any errors.
- Resolve discrepancies in accounting records.
- Prepare itemized statements, bills, or invoices and record amounts due for items purchased or services rendered.
- Operate typing, adding, calculating, or billing machines.
- Review documents, such as purchase orders, sales tickets, charge slips, or hospital records, to compute fees or charges due.
- Post stop-payment notices to prevent payment of protested checks.
- Verify signatures and required information on checks.
- Keep records of invoices and support documents.
- Perform bookkeeping work, including posting data or keeping other records concerning costs of goods or services or the shipment of goods.
- Track accumulated hours and dollar amounts charged to each client job to calculate client fees for professional services, such as legal or accounting services.
- Contact customers to obtain or relay account information.
- Weigh envelopes containing statements to determine correct postage and affix postage, using stamps or metering equipment.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Administrative _(knowledge)_
- Customer and Personal Service _(knowledge)_
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Written Comprehension _(ability)_
- Near Vision _(ability)_
- Economics and Accounting _(knowledge)_
- Oral Expression _(ability)_
- Information Ordering _(ability)_
- Mathematics _(knowledge)_
- Computers and Electronics _(knowledge)_
- Administration and Management _(knowledge)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Mathematics _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Time Management _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- Epic Systems _(hot technology)_
- Intuit QuickBooks _(hot technology)_
- MEDITECH software _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft Windows _(hot technology)_
- SAP software _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 80th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 89th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 72nd percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 74th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 91st percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -0.4% growth (Declining); 42.2k annual openings; 429.8k → 427.9k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $47,170; 417,500 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-43-3021-00_