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Key statistics

The identity block — every fact is canon, none is generated.

2 of 8

Track

Support

Family rungs priced

S1 · S2 · S3 · S4 · S5

47-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

An entry-level mining operations worker developing core skills in drilling, blasting support, hauling, and equipment operation under guidance. At the Support Specialist (S2) level, the role owns a defined queue or customer set, standard issues within known procedures, and drives customer satisfaction for own queue. None.

What this level does

Operate a range of hydraulic and motor-driven machinery — drills, excavators, continuous mining machines — to drill holes and excavate coal, rock and other materials across a multi-step production cycle
Complete assigned production tasks against general shift expectations, deadlines and priorities rather than task-by-task instruction
Maintain accurate logs of machine hours, tonnes moved and maintenance tasks performed during the shift
Recognize when routine conditions warrant occasional deviation (e.g. reposition for a soft floor or wet section) and flag it to the supervisor
Operate equipment in a coal seam of varying height while remaining attentive to changing ground and roof conditions

Knowledge applied: Broad knowledge of operating routines across several machine types, applied to a multi-step production cycle.
Complexity & problem solving: Semi-routine tasks; recognizes the need for occasional deviation (soft floor, seam-height change) and flags it.
Collaboration & interaction: Follows established procedures with instruction on genuinely new tasks; routine interaction with peer operators.
Typical experience: 1–2 yrs; some related heavy-equipment or construction experience.

Skills at this level

Heavy Mining Equipment Operation: — Operates haul trucks, loaders, drills, excavators, continuous mining machines, shuttle cars and LHDs to extract and move ore, coal and waste rock safely and efficiently against production schedules.
Ground and Roof Condition Assessment: — Reads seam height, roof stability, floor conditions, water and gas during mining and adjusts operating action to keep the face and crew safe.
Mine Ventilation Support: — Hangs and maintains ventilation tubing and curtains to keep the underground mining face area properly ventilated as work advances.
Drilling and Excavation: — Uses hydraulic and motor-driven machinery to drill holes and excavate rock, coal and metals, controlling depth, sequence and material handling.
Pre-Start Inspection and Fault Reporting: — Performs walk-around and pre-start checks on mining machines, identifies defects and abnormal readings, and decides whether to operate, isolate or hand over to maintenance.
Operations Logging: — Maintains accurate logs of machine hours, tonnes moved, maintenance tasks and machinery performance during the shift for production and maintenance tracking.
Fleet Monitoring System Use: — Uses fleet monitoring software to track machine performance and cycle times and adjusts operation to keep production on target and losses down.
Short Interval Control: — Applies structured Management Operating System routines, daily production meetings and short-interval control to keep the crew's output aligned with daily, weekly and monthly targets.
Production Cycle Coordination: — Sequences loading, hauling and dumping across peer operators to keep material flowing continuously without stalling the cycle.
Operator Training and Coaching: — Teaches less experienced operators equipment technique, hazard recognition and non-routine handling on the job, and assesses their competency to progress.
Operating Procedure Development: — Contributes to creating and revising standard operating procedures, pre-start checks and routines for the equipment fleet based on field experience.
Working Lead of Operations: — Allocates machines and haul routes across a shift and facilitates peer execution of production routines, leading the work rather than managing people.

Model-authored from 20 retrieved sources, then adversarially reviewed by an independent judge panel and held to a minimum-evidence floor before publication. Distinct from corpus-extracted content, which is labelled as such.

Pay across the ladder

Mining Operations — median with , by . Real canon data.

National-base pricing — this family's function differential is pending review, so dollar levels are not function-adjusted (level-over-level % is unaffected).

Pay figures are modeled estimates from our market equation — level-differentiated, with honest-wide bands. They refresh as new leveling evidence lands; treat per-role dollars as directional.

Demand — is the field growing, or just turning over?

SOC 47-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+46.0%Loading and Moving Machine Operators, Underground Mining · United States

4,200 → 6,130 jobs

500 openings / year, split into:

replacement / exits 643

Growth — new jobs (-29%)Exits — backfill (100%)

This occupation is projected to contract — every opening is replacing someone leaving, not net new demand.

Projected growth 2024–34 contracting: -22.3%
Growth share of hiring: -29%
Exit / retention pressure high: 100%
Openings / year: 500

Two quantities, kept apart: observed = employment growth differenced from two BLS OEWS vintages (what already happened); projected = BLS Employment Projections 2024–34, openings decomposed into growth + exits (growth derived from projected employment change). Neither is a pay figure.

Where this role sits — growth vs. pay

level S2 held

Demand axis is projected growth (not raw openings — that just measures churn). A curated, de-duplicated set of recognizable occupations held at this level; this role is highlighted.

Where it pays — by metro

OEWS metro median

San Jose-Sunnyvale-Santa Clara, CA$74k

San Francisco-Oakland-Fremont, CA$66k

Washington-Arlington-Alexandria, DC-VA-MD-WV$61k

Boulder, CO$60k

Seattle-Tacoma-Bellevue, WA$60k

Boston-Cambridge-Newton, MA-NH$58k

Lexington Park, MD$56k

Trenton-Princeton, NJ$56k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $44k; the demand-cube initiative will add growth-by-metro.

What changes across the ladder

Level-distinction canon isn't available for the adjacent levels of this profile yet.

Level differentiators

What separates S2 (S2 — Support Specialist) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A defined queue or customer set
Autonomy: General supervision; handles standard cases independently
Complexity: Standard issues within known procedures
Impact: Customer satisfaction for own queue
Decision rights: Resolves standard cases; escalates complex
Leadership: None

Full level-by-level matrix (side by side across the ladder) lives on the Ladder drill-down — not here.

Promotion

The next rung from S2 is S3.

Performance criteria for this profile render in the assessment kit →

People also watch

Nearest coordinate neighbors — same , same level. Each row's (confident / review / no match) comes from its — computed, not curated.

Profile	Key	Median	Δ structural
SVP of Mining Operations	jf_field_operations_mining_operations::E2	$322,728†	confident0.06
Senior Mining Operations Supervisor	jf_field_operations_mining_operations::M2	$110,455†	confident0.06
Mining Operations Technician	jf_field_operations_mining_operations::P2	$72,357†	confident0.06
Mine Laborer	jf_field_operations_mining_operations::S1	$37,323†	confident0.06

†National-base pricing — this family's function differential is pending review, so the dollar level is not function-adjusted.

Capability cluster

O*NET 47-5044

Core to this role. Click any element with an ⓘ for its O*NET definition. A job-specific capability model (SkillFrame) will sharpen this and add worked examples.

The Job Swatch

S2

jf_field_operations_mining_operations::S2

Mining Operations Technician

Mining Operations

The swatch is JobFrame's core primitive: a hueset deterministically by the role's superfunction, the profileKey as its color code, the level ladder, and a content fingerprint. Two swatches that look alike are alike.

Because every role carries computable coordinates, similarity, leveling, and pricing become measurable instead of arguable— the whole point of "Pantone for jobs."

Structural

structural@1

Where it sits— position in the work taxonomy + level (weighted Gower, level > function > focus).

Track: S
Superfunction: industrial_energy_operations
Function: field_operations
Family: field_operations_mining_operations
Universal level: 2 / 8

Content

content@2

What it's about— a fingerprint over the role's tasks & capabilities.

Two roles can sit far apart structurally yet be close in content — that gap is itself a signal.

3-state matching

How any two swatches compare — a real distance in coordinate space, resolved to a calibrated verdict (never a fake "94% match").

Battery Storage Operations · S2review0.17

Drilling Operations · S2review0.17

Field Maintenance · S2review0.17

Field Measurement · S2review0.17

Field Operations · S2review0.17

Marine Operations · S2review0.17

Editions — frozen & versioned

structural@1live

Released 2026-06-17

content@2live

Released 2026-07-28

pay@2live

Released 2026-07-02

semantic@1live

Released 2026-07-02

Coordinates belong to a frozen, versioned edition — a coordinate computed today still means the same thing next quarter. Re-fitting issues a new edition, so comparisons are never silently redefined.

How to read this profile

Every number here is traceable — to a named source, a stated method, and an as-of date — and each value is labeled by how we know it: observed from data, computed by a model, projected forward, or governed canon. Nothing is a black box, and nothing is invented to fill a gap.

Where every number comes from

What	Source & method	Edition	State
Median pay + range	JobFrame pay equation (function base × family multiplier × level × focus differential)	pay@2	computed
Pay across the ladder	Same equation applied at each universal level	pay@2	computed
Demand — growth & openings	BLS Employment Projections; openings decomposed into growth + exits	EP 2024–34	projected
Pay by metro	BLS OEWS metropolitan medians	OEWS 2024	observed
Level distinctions	JobFrame universal-level canon (scope · autonomy · complexity · impact · decision rights · leadership)	canon	canon
Capability cluster	O*NET Knowledge / Skills / Abilities	O*NET 47-5044	computed
Coordinates	JobFrame coordinate system — structural (weighted Gower) + content fingerprint	structural@1 · content@2 · pay@2 · semantic@1	computed
Related roles	Nearest neighbors in the structural coordinate space	structural@1	computed

The principles behind the numbers

Ranges, not false precision

Pay is P10 · median · P90, never a single misleading number.

Three honest states, never a fake %

Role matches resolve to confident / review / no-match — a calibrated verdict, not a made-up percentage.

Provenance on every value

Each number carries whether it's observed, computed, projected, or canon — so you always know how much to lean on it.

Gaps shown as gaps

When a figure isn't available at the grain you need, we say so — we don't fabricate a number to fill the cell.

Frozen, versioned editions

Pay and coordinate editions are pinned, so a comparison you make today still means the same thing next quarter.

Privacy by min-N

Any aggregate over people is suppressed below a minimum count, so no individual is identifiable.

Freshness

As of2026-07-30Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)