RoleMath

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Field Network Technician

Source-cited RoleMath page about Field Network Technician.

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Researched by RoleMath Research. Every figure on this page traces to the official source shown next to it.

What the numbers say about this work

Government occupation data for the role this maps to — Telecommunications Equipment Installers and Repairers, Except Line Installers (SOC 49-2022). This is planning context for the occupation, not a salary or a job this role guarantees you.

Median pay (occupation)
$63,890 / yr · $44,240 to $96,730 (10th–90th percentile)
Projected change (2024–34)
-4.2% · ~13.2k openings/yr
Typical entry education
Postsecondary nondegree award

BLS OEWS — occupation-level, national BLS Employment Projections 2024–34 This role uses a broad O*NET-SOC/BLS occupation mapping. Treat salary, outlook, and task data as occupation-level evidence, not a guarantee for this exact job title.

What it pays by metro

The national median hides a wide geographic spread. Below is the occupation’s median in some of the highest-paying and largest-employment metros, adjusted for local prices — regional price-level context, not take-home pay or a salary this role guarantees you.

MetroNominal medianCost-adjusted
San Francisco, CA$92,290$79,827
San Jose, CA$87,950$79,648
Salt Lake City, UT$80,000$79,312
Charlotte, NC$72,600$74,578
Portland, OR$77,980$73,970
Philadelphia, PA$75,290$73,415

See all metros and how this is calculated → Sources: BLS OEWS (May 2025), occupation-level metro median ÷ BEA Regional Price Parities (2024, US=100).

What this work involves

The tasks the U.S. Department of Labor’s O*NET lists most central to this occupation — role-fit evidence to weigh against your background, not a measure of employer demand.

  • Demonstrate equipment to customers and explain its use, responding to any inquiries or complaints.
  • Test circuits and components of malfunctioning telecommunications equipment to isolate sources of malfunctions, using test meters, circuit diagrams, polarity probes, and other hand tools.
  • Test repaired, newly installed, or updated equipment to ensure that it functions properly and conforms to specifications, using test equipment and observation.
  • Climb poles and ladders, use truck-mounted booms, and enter areas such as manholes and cable vaults to install, maintain, or inspect equipment.
  • Assemble and install communication equipment such as data and telephone communication lines, wiring, switching equipment, wiring frames, power apparatus, computer systems, and networks.
  • Run wires between components and to outside cable systems, connecting them to wires from telephone poles or underground cable accesses.

O*NET — occupation-level

Skills that matter

The skills O*NET rates most important for this occupation. A starting map for what to build — weigh it against the specific job you’re targeting.

  • Critical Thinking
  • Active Listening
  • Monitoring
  • Reading Comprehension
  • Speaking
  • Active Learning
  • Writing
  • Learning Strategies

O*NET — occupation-level

What employers ask for right now

The skills and certifications employers most often name in a sample of 47public job postings for this role. Treat it as a to-learn list — it’s dated hiring language, not a count of open jobs, demand, or salary.

Most-named skills

  • Troubleshooting 17
  • Problem solving 16
  • Python 13
  • Excel 10
  • Linux 8
  • Software development 7
  • JavaScript 7
  • API 6
  • Asana 6
  • OpenAI 6
  • Kubernetes 5
  • AWS 5

Certifications named

  • Network+ 2
  • CCNA 2
  • Linux+ 1
  • Server+ 1

Compare what employers ask across roles → Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence.

Field Network Technician

Quick Verdict

Field Network Technician maps to the BLS occupation Telecommunications Equipment Installers and Repairers, Except Line Installers (SOC 49-2022), which has a national median of $63,890. Pay is occupation-level and location-driven - not caused by the job title or a certification. Below are the full cited labor-market context, the skills the role draws on, and the certification paths that map to it. This role uses a broad O*NET-SOC/BLS occupation mapping. Treat salary, outlook, and task data as occupation-level evidence, not a guarantee for this exact job title.

Fit Signals

  • Realistic (6.43)
  • Conventional (4.83)
  • Investigative (2.42)

Skills & Tools

*Tools and technologies ONET associates with this occupation* - role-specific examples with ONET hot/in-demand flags, not employer requirements:

  • Microsoft Excel (hot technology, in demand)
  • Microsoft Office software (hot technology, in demand)
  • Autodesk AutoCAD (hot technology)
  • Microsoft Outlook (hot technology)
  • Microsoft PowerPoint (hot technology)
  • Microsoft Word (hot technology)
  • Apache Struts
  • Cisco IOS

*Foundational ONET skills** (broadly shared across occupations, not unique to this role): Critical Thinking, Active Listening, Monitoring, Reading Comprehension, Speaking, Active Learning.

AI & this career

What we can — and can’t — tell you about AI and this role

Cited context only: an occupation-level outlook, descriptive usage data, an employer-language sample, and attributed research — kept separate. No RoleMath AI score, no automation timeline, no job-loss prediction. How we source this →

Occupation outlook · BLS

Where the occupation is projected to go

BLS projects Telecommunications equipment installers and repairers, except line installers at -4.2% employment change for 2024-2034, with 13.2 thousand annual openings. U.S. Bureau of Labor Statistics

A forecast, not a guarantee; occupation-level, not about you - and BLS does not model rapid AI adoption, so this is never an AI prediction.

How AI shows up in the work

Descriptive usage, not demand or loss

For this shared SOC, the May 2026 usage sample reports 69.61% augmentation-labeled and 30.39% automation-labeled Claude conversations. Anthropic Anthropic Economic Index dataset, CC-BY.

Across all occupations the same dataset splits 51.4% augmentation / 48.6% automation (May 2026) — shown so a single role’s number is never read as an outlier.

Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.

Employer language · sample

What a posting sample mentions

a sample of 6 postings (as of 2026-06-11) mentions these AI-related terms RoleMath public ATS employer-language pilot

Employer-language sample only; not official demand, market-size, salary, or certification ROI evidence.

Published research · attributed

What independent research says (not RoleMath’s claim)

  • Eloundou et al. estimate that about 80% of U.S. workers have at least 10% of their work tasks exposed to large language model capabilities (Science 2024). American Association for the Advancement of Science exposure = task overlap, not job loss.
  • Eloundou et al. estimate that about 19% of U.S. workers have at least 50% of their work tasks exposed to large language model capabilities (Science 2024). American Association for the Advancement of Science exposure = task overlap, not job loss.
  • Eloundou et al. explicitly disclaim any forecast of AI adoption or timing, describing their measure as capability overlap with tasks rather than a prediction of job loss (Science 2024). American Association for the Advancement of Science exposure = task overlap, not job loss.
  • OECD reports that high-skill occupations are the most exposed to AI on task-overlap measures (OECD Employment Outlook 2023). Organisation for Economic Co-operation and Development exposure = task overlap, not job loss.
  • OECD reports that, as of 2023, there is little empirical evidence of negative employment effects from AI (OECD Employment Outlook 2023). Organisation for Economic Co-operation and Development exposure = task overlap, not job loss.
  • OECD and the AIOE research find that AI exposure and automation risk often run in opposite directions, with the most-exposed high-skill occupations tending to be the least at risk of automation. Organisation for Economic Co-operation and Development exposure = task overlap, not job loss.
  • Felten, Raj and Seamans construct an occupation-level AI Occupational Exposure index by linking AI capabilities to O*NET occupational abilities (Strategic Management Journal). Strategic Management Journal (Wiley) exposure = task overlap, not job loss.
  • Stanford Digital Economy Lab researchers find a roughly 16% relative decline in employment for workers ages 22-25 in the most AI-exposed occupations, based on high-frequency ADP payroll data (Canaries in the Coal Mine, working paper). Stanford Digital Economy Lab correlational usage data, not proof.
  • The ILO notes that AI-exposure indicators measure potential task overlap and cannot by themselves establish job loss (Workers' exposure to AI). International Labour Organization exposure = task overlap, not job loss.
  • The Anthropic Economic Index reports no measured systematic rise in unemployment attributable to AI in its usage data. Anthropic correlational usage data, not proof.

Tier A research stays attributed and separate from BLS outlook and employer-language samples.

Every page here connects to the same cited data spine — these are the closest surfaces to what you just read.

Roles & paths this connects to

role role interestWhat interests fit a Field Network Technician?role role learning roadmapLearning roadmap: how to become a Field Network Technicianrole role outlookJob outlook & openings: Field Network Technician

Zoom out

role from backgroundFrom help desk technician to tech — your realistic pathsrole from backgroundFrom military veteran to tech — your realistic pathsrole from backgroundFrom retail worker to tech — your realistic paths

Every figure on this page, sourced

The claims above trace to these records — the source, and when it was last checked. If a figure has no row here, we did not publish it.

IDSupportsSourceChecked
SCHEMA-CIT-1Schema citationField Network Technician BLS OEWS wage sourceLogged in source packet
SCHEMA-CIT-2Schema citationField Network Technician BLS Employment Projections sourceLogged in source packet
SCHEMA-CIT-3Schema citationField Network Technician O*NET sourceLogged in source packet

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