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 53-1042.01
Supervise curbside and drop-off recycling programs for municipal governments or private firms.
Also called: Heavy Equipment Supervisor · Route Supervisor · Solid Waste Division Supervisor · Waste Reduction Coordinator · Recycle Coordinator · Recycling Coordinator · Recycling Manager · Recycling Program Manager · Recycling Specialist · Agency Operator · Corporate Recycling Manager · Materials Manager
Job family: Transportation and Material Moving Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-53-1042-01/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.
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 |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 51st | 0.6 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
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.
| Implement grant-funded projects, monitoring and reporting progress in accordance with sponsoring agency requirements. | 0.3% | |
| Identify or investigate new opportunities for materials to be collected and recycled. | 0.2% | |
| Design community solid and hazardous waste management programs. | 0.2% | |
| Make presentations to educate the public on how to recycle or on the environmental advantages of recycling. | 0.2% |
All 23 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).
| Speaking | 3.9 | |
| Active Listening | 3.6 | |
| Critical Thinking | 3.6 | |
| Reading Comprehension | 3.5 | |
| Monitoring | 3.5 | |
| Writing | 3.1 | |
| Active Learning | 3.1 | |
| Learning Strategies | 3.0 |
| Oral Comprehension | 3.9 | |
| Oral Expression | 3.9 | |
| Speech Recognition | 3.8 | |
| Speech Clarity | 3.8 | |
| Deductive Reasoning | 3.6 | |
| Information Ordering | 3.5 | |
| Written Comprehension | 3.4 | |
| Problem Sensitivity | 3.4 | |
| Inductive Reasoning | 3.4 | |
| Near Vision | 3.4 | |
| Category Flexibility | 3.3 | |
| Written Expression | 3.1 | |
| Selective Attention | 3.1 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology In demand |
| Microsoft Office software | Office suite software | Hot technology In demand |
| Microsoft Outlook | Electronic mail software | Hot technology In demand |
| Microsoft PowerPoint | Presentation software | Hot technology In demand |
| Microsoft Access | Data base user interface and query software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| SAP software | Enterprise resource planning ERP software | Hot technology |
| Email software | Electronic mail software | |
| Operational databases | Data base user interface and query software | |
| Web browser software | Internet browser software | |
| Work scheduling software | Calendar and scheduling software |
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.
| High School Diploma | 47.1% | |
| Bachelor's Degree | 30.1% | |
| Associate's Degree (or other 2-year degree) | 22.8% |
The interests and personal qualities O*NET associates with people who do this work.
| Enterprising | 4.8 | |
| Conventional | 4.6 | |
| Realistic | 4.0 | |
| Social | 3.4 | |
| Investigative | 2.3 | |
| Artistic | 1.0 |
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 Recycling Coordinators — 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.
See where this work sits in the bigger picture.
Recycling Coordinators sit at the 51st percentile of AI task overlap among U.S. occupations
Recycling Coordinators sit at the 51st percentile of AI task overlap among U.S. occupations • Recycling Coordinators rank in the 51st percentile (Moderate 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) Source: Singulariki — "Recycling Coordinators". https://singulariki.com/roles/role-53-1042-01 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. "Recycling Coordinators." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-53-1042-01
Singulariki. (2026). Recycling Coordinators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-1042-01
@misc{singulariki-role-53-1042-01,
title = {Recycling Coordinators},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-53-1042-01}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.