Skip to content
Singulariki

Septic Tank Servicers and Sewer Pipe Cleaners

Occupation · SOC 47-4071.00

Clean and repair septic tanks, sewer lines, or drains. May patch walls and partitions of tank, replace damaged drain tile, or repair breaks in underground piping.

Also called: Drain Cleaner · Septic Pump Truck Driver · Septic Tank Service Technician · Service Technician · Drain Technician · Public Works Technician · Septic Cleaner · Sewer Bricklayer · Aseptic Tech (Aseptic Technician) · Drain and Sewer Technician · Electric Sewer Cleaning Machine Operator · High Reach Operator

Job family: Construction and Extraction Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-47-4071-00/context.md directly.

AI work map

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.

13th-percentile task overlap — yet about 2,900 openings a year (+7.6% projected, BLS) . What exposure means →

AI & job outlook

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.

Exposure to current AI

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.) Low 10th -1.2
LLM task exposure, γ (OpenAI / Eloundou) Low 14th 0.1
AI assistant applicability (Microsoft) Low 25th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.1). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

Historical automation estimate (2013)

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 0.8 · 68th percentile among occupations · High

How AI is actually used in this job

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.

Clean and disinfect domestic basements and other areas flooded by sewer stoppages. 0.4%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Growing fast · +7.6% by 2034
Projected annual openings 2,900
Employment 2024 → 2034 30,400 → 32,700

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

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.

10% mean task exposure (2025)
3rd percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Other Cleaning Workers · 9129 10% Not exposed

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.

Tasks

All 22 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Pump, clean, and repair septic tanks, sewer lines, or related structures such as manholes, culverts, and catch basins.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 3.9
Transportation 3.5
Mechanical 3.5
English Language 3.4
Public Safety and Security 3.4
Mathematics 3.2
Administration and Management 3.0

Transferable skills

Operation and Control 3.9
Operations Monitoring 3.6
Equipment Maintenance 3.0
Troubleshooting 3.0
Repairing 3.0
Quality Control Analysis 3.0
Time Management 3.0
Coordination 2.9

Abilities

Manual Dexterity 3.8
Control Precision 3.6
Oral Comprehension 3.5
Problem Sensitivity 3.5
Flexibility of Closure 3.5
Arm-Hand Steadiness 3.5
Multilimb Coordination 3.5
Depth Perception 3.4
Reaction Time 3.3
Near Vision 3.3
Hearing Sensitivity 3.3
Oral Expression 3.1
Deductive Reasoning 3.1
Static Strength 3.1
Extent Flexibility 3.1
Far Vision 3.1
Inductive Reasoning 3.0
Perceptual Speed 3.0
Visualization 3.0
Selective Attention 3.0
Trunk Strength 3.0
Auditory Attention 3.0

Essential skills

Critical Thinking 3.1
Active Listening 3.0
Monitoring 2.9

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Intuit QuickBooks Accounting software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Word Word processing software Hot technology
Route mapping software Route navigation software
Web browser software Internet browser software
Work scheduling software Calendar and scheduling software

Work context

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.

Outdoors, Exposed to All Weather Conditions 5.0
Telephone Conversations 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.7
Contact With Others 4.6
Exposed to Contaminants 4.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.5
Work With or Contribute to a Work Group or Team 4.5
Deal With External Customers or the Public in General 4.4
Exposed to Very Hot or Cold Temperatures 4.3
Frequency of Decision Making 4.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.3
In an Enclosed Vehicle or Operate Enclosed Equipment 4.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.3
Exposed to Extremely Bright or Inadequate Lighting Conditions 4.1
Coordinate or Lead Others in Accomplishing Work Activities 4.1
Physical Proximity 4.1
Freedom to Make Decisions 4.1
Health and Safety of Other Workers 3.9
Time Pressure 3.8
Impact of Decisions on Co-workers or Company Results 3.8
Determine Tasks, Priorities and Goals 3.8
Exposed to Hazardous Equipment 3.7
Work Outcomes and Results of Other Workers 3.6
Spend Time Bending or Twisting Your Body 3.6
In an Open Vehicle or Operating Equipment 3.6
Exposed to Disease or Infections 3.6
Spend Time Making Repetitive Motions 3.5
Spend Time Standing 3.4
Importance of Being Exact or Accurate 3.4
Exposed to Minor Burns, Cuts, Bites, or Stings 3.4
Written Letters and Memos 3.3
Exposed to Whole Body Vibration 3.3
Indoors, Not Environmentally Controlled 3.2
Spend Time Walking or Running 3.2
Dealing With Unpleasant, Angry, or Discourteous People 3.1
Exposed to Cramped Work Space, Awkward Positions 3.0
Importance of Repeating Same Tasks 3.0
Conflict Situations 3.0
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.9
Pace Determined by Speed of Equipment 2.9

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

What to study: Construction Trades . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 40.4%
Less than a High School Diploma 37.1%
Post-Secondary Certificate 22.1%
Some College Courses 0.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 7.0
Conventional 4.3
Investigative 2.1
Social 1.4

Interest areas

Physical/Manual Labor 6.3
Transportation/Machine Operation 5.0
Mechanics/Electronics 2.7
Engineering 1.9
Construction/Woodwork 1.7
Management/Administration 1.4
Mathematics/Statistics 1.3

Work styles

Dependability 2.2
Cautiousness 2.0
Attention to Detail 1.7
Perseverance 1.6
Stress Tolerance 1.5

Wages & employment

U.S. · annual wages (BLS OEWS)

$37k10th$43k25th$49kMedian$60k75th$74k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
30k202433k2034 (proj.)+7.6% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $36,500
25th percentile $42,700
Median (50th) $49,140
75th percentile $60,320
90th percentile $73,670
People employed 29,050

Industries that employ this occupation

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
Administrative and Support and Waste Management and Remediation Services · Sector 16,640 $47,540
Construction · Sector 5,280 $50,860
Plumbing, Heating, and Air-Conditioning Contractors · National industry 1,980 $49,120
Professional, Scientific, and Technical Services · Sector 440 $60,740
Temporary Help Services · National industry 160 $38,630
Utilities · Sector 100 $49,180
Manufacturing · Sector 70 $48,940
Electrical Contractors and Other Wiring Installation Contractors · National industry 40 $47,610
Wholesale Trade · Sector $47,010
Real Estate and Rental and Leasing · Sector $39,070
Engineering Services · National industry $59,820

Where this work is most concentrated

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
Administrative and Support and Waste Management and Remediation Services · Sector 9.78× 16,640
Plumbing, Heating, and Air-Conditioning Contractors · National industry 8.3× 1,980
Construction · Sector 3.45× 5,280
Utilities · Sector 0.92× 100
Temporary Help Services · National industry 0.32× 160
Professional, Scientific, and Technical Services · Sector 0.22× 440

Part of the Energy & Natural Resources career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Septic Tank Servicers and Sewer Pipe Cleaners sits at the 13th percentile of AI task-overlap and the 31st percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Septic Tank Servicers and Sewer Pipe Cleaners Construction Laborers Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters Cleaners of Vehicles and Equipment Service Unit Operators, Oil and Gas Excavating and Loading Machine and Dragline Operators, Surface Mining Plumbers, Pipefitters, and Steamfitters Control and Valve Installers and Repairers, Except Mechanical Door Pump Operators, Except Wellhead Pumpers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Septic Tank Servicers and Sewer Pipe Cleaners — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 3rd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Septic Tank Servicers and Sewer Pipe Cleaners show 13th-percentile AI task overlap — and about 2,900 annual U.S. openings

  • Septic Tank Servicers and Sewer Pipe Cleaners rank in the 13th percentile (Low 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 2,900 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 growing fast (+7.6%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $49,140, across about 29,050 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Septic Tank Servicers and Sewer Pipe Cleaners show 13th-percentile AI task overlap — and about 2,900 annual U.S. openings

• Septic Tank Servicers and Sewer Pipe Cleaners rank in the 13th percentile (Low 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 2,900 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 growing fast (+7.6%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $49,140, across about 29,050 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Septic Tank Servicers and Sewer Pipe Cleaners". https://singulariki.com/roles/role-47-4071-00
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.

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. "Septic Tank Servicers and Sewer Pipe Cleaners." 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-47-4071-00

APA

Singulariki. (2026). Septic Tank Servicers and Sewer Pipe Cleaners. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-4071-00

BibTeX
@misc{singulariki-role-47-4071-00,
  title  = {Septic Tank Servicers and Sewer Pipe Cleaners},
  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-47-4071-00}
}

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

Embed this chart

Paste this into any page. It links back here for attribution.