EXPOSED
The control-room half of this job — watching flow rates, pressures and tank levels, logging readings, sequencing transfers — is exactly what SCADA and DCS automation has been eating for two decades, and AI-assisted anomaly detection accelerates it. What holds is the field half: walking the line, lining up valves and manifolds, pulling samples, spotting a weeping flange or a plugged strainer, and executing lockout/tagout during upsets. The modal worker in a refinery, tank farm, or pipeline terminal survives as a field operator with fewer peers per facility, not as a gauge-watcher.
Roughly flat across the period, with year-to-year wobble.
Median pay $45,040 → $61,770 +9.7% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+2.6%
Percentage only. The projection counts a different population from the 9,780 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +2.6% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~1,500 openings a year on average, including replacing people who leave.
PumperPumpmanPipelinerOil PumperAcid LoaderPump RunnerPump TenderTank TenderPumper GagerPump MechanicPump OperatorTank OperatorBrewery PumperPigment PumperChemical PumperPump TechnicianOutside OperatorStation EngineerUtility OperatorWaste Oil PumperAirveyor OperatorConcrete OperatorPipeline OperatorAcid Pump Operator
Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier Remote-start pumps, automated tank gauging and PLC-driven transfer sequences already handle the setpoint changes, alarm acknowledgement and shift-log entries that used to fill a tour, but nobody has automated cracking a manifold valve, changing a strainer basket, or repacking a leaking seal on a rotating pump — roughly half the shift is still work only a body in the unit can do, which is why this sits at 10 and not 4.
Hands-on in uncontrolled environments You work outdoors on tank dikes and loading racks in whatever weather the shift brings, climbing to gauge hatches, handling hoses and swing arms, working around hydrocarbons, H2S and pressurized lines under FRC and gas monitor — 16 rather than 20 only because the plant is a mapped, fixed facility with fixed piping rather than a new uncontrolled site every day.
No licence, no signature requirement No state licence gates this work; a TWIC card, HAZWOPER/HAZMAT awareness and site-specific operator qualification get you on the property, and when a transfer overfills a tank the citation lands on the operating company under PHMSA or the EPA SPCC plan, not on your personal ticket, so the 4 reflects credentialing overhead only.
Meaningful discretion Most of the shift runs off written transfer procedures, line-up checklists and alarm response guides, but you decide in real time whether a pressure trend means a plugged strainer or a downstream leak and whether to shut down and lock out before calling anyone — genuine discretion inside a narrow window, which is 8 rather than 14 because the escalation path to the console and unit supervisor is short.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (10/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (4/20) is whether the law requires a licensed human to sign. Trust premium (3/20) is whether buyers specifically pay for a person. Judgment and accountability (8/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 15 of this occupation's 41 points (37%).
Embodiment (16/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 51/100, still EXPOSED.
Genuine two-tier job: once SCADA/AI anomaly detection absorbs routine gauge-watching and logging, what remains is abnormal-condition response — diagnosing a plugged strainer, deciding whether a weeping flange justifies shutting a transfer, manual lineup during power loss. If facilities keep cutting headcount rather than eliminating the position, the residual role is mostly the judgment tier
If PHMSA's pipeline safety rules and API 570/653 inspection practice continue to require in-person valve lineup verification, physical sampling, and hands-on lockout/tagout by a qualified person during transfers and upsets — rather than accepting remote-camera or drone verification — the field half of the job stays irreducible and the score edges up as the control-room half disappears
If EPA/PHMSA post-incident enforcement continues to trace spills and overfills to specific lineup and shutdown decisions (Buckeye, Colonial Pipeline consent decrees name operator actions), the person owning the stop-the-transfer call carries visible consequence for it
If OSHA PSM (29 CFR 1910.119) or PHMSA operator-qualification rules are tightened to name an individual qualified operator who must personally attest to valve lineup and energy-isolation before a transfer — the way a signed permit-to-work already functions at some majors — the attestation becomes personal rather than corporate
The limit. No realistic route to a trust premium: the buyer is a refinery or midstream company purchasing throughput, and no customer of gasoline or crude ever pays extra for a human at the manifold. Headcount-per-facility is the real variable — the dimensions can hold while total jobs fall.
| Houston-Pasadena-The Woodlands, TX | 770 | $76,670 +24% |
| New York-Newark-Jersey City, NY-NJ | 410 | $63,540 +3% |
| Portland-Vancouver-Hillsboro, OR-WA | 300 | $63,480 +3% |
| Midland, TX | 270 | $54,800 -11% |
| Los Angeles-Long Beach-Anaheim, CA | 250 | $63,060 +2% |
| Dallas-Fort Worth-Arlington, TX | 210 | $63,110 +2% |
| Atlanta-Sandy Springs-Roswell, GA | 120 | $64,050 +4% |
| New Orleans-Metairie, LA | 120 | $38,360 -38% |
| Beaumont-Port Arthur, TX | 90 | $82,090 +33% |
| Baton Rouge, LA | 100 | $79,840 +29% |
| Cincinnati, OH-KY-IN | 40 | $79,010 +28% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 41. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.