EXPOSED
Roughly half the job is physical: pulling samples off the production line, prepping plates and titrations, running pH/moisture/micro assays, calibrating instruments, swabbing equipment. The other half — logging results, charting SPC trends, writing batch reports, checking specs against labels — is exactly what lab software plus LLMs now handle, and automated inline analyzers already eliminate some manual testing. No license protects the role, and the accountable sign-off belongs to the food scientist or QA manager above you.
Headcount grew steadily across the period.
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.
BLS projection, 2024–2034
+4.8%
Percentage only. The projection counts a different population from the 14,600 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 +4.8% 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.
~3,200 openings a year on average, including replacing people who leave.
Test BakerBeer BrewerFood TasterFood TesterMilk TesterCream TesterDairy TesterFood AnalystFruit TesterJuice TesterSeed AnalystTaste TesterBiotechnicianCheese TesterFermentologistQuality AnalystButter Fat TesterSensory ScientistDairy TechnologistJuice StandardizerFood Products TesterData Control AssistantYeast Culture DeveloperFood Technician (Food Tech)
Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier At 11 the split is real: inline NIR moisture, automated pH probes and plate-reader colony counters have already displaced routine assays, and your CoA transcription, SPC charting and spec-vs-label checks are LIMS-and-LLM work — but sensory panel prep, sanitation swabbing on a wet floor, and hand-titrating a fat content on a product that clogs the analyzer keep it out of single digits.
Hands-on in uncontrolled environments 13 reflects that sampling happens where the product is — climbing to a mixer hatch, pulling retorts from a 250°F autoclave, standing in a 34°F cooler cutting cores from a cheese block, dodging a running line during a shift changeover — an uncontrolled plant floor, not a clean bench, though you return to a fixed lab bay for most of the assay work.
Certification preferred, not legally required 5 is for HACCP or ServSafe-style certification and USDA/FDA-recognized method training that employers ask for, not a state license: nothing stops the plant from putting a trained operator on the pH meter, and FSMA's Preventive Controls Qualified Individual designation — the one with legal weight — sits with the QA manager, not you.
Meaningful discretion 7 covers the calls you actually make — flagging an out-of-spec Brix, deciding a plate is too overgrown to count, judging whether an off-odor merits escalation — while the hold/release decision, the recall, and the deviation disposition are signed by someone with the PCQI title above you.
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 (11/20 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 (5/20) is whether the law requires a licensed human to sign. Trust premium (4/20) is whether buyers specifically pay for a person. Judgment and accountability (7/20) 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 16 of this occupation's 40 points (40%).
Embodiment (13/20) 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.
No occupation passed every test: close enough to food science technicians on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
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 55/100, still EXPOSED.
Post-outbreak criminal exposure (the DOJ pattern from Peanut Corporation of America and Blue Bell) extending down to lab staff who certified test results, plus insurer requirements that product liability coverage names trained analysts of record for pathogen testing (ISO 17025 accreditation already requires named authorized signatories for test reports)
Genuine two-tier structure: if inline NIR/moisture analyzers and LIMS auto-charting absorb the routine assay and SPC-logging tier, the residual job is investigation work — root-cause on an out-of-spec lot, deciding whether a presumptive Listeria hit is a true positive or a swab artifact, method validation for a new product matrix. That tier is not currently doable by software and is not automatable by adding more analyzers
FSMA-era enforcement already requires a 'preventive controls qualified individual' (PCQI) signature on HACCP/food safety plan verification records; if FDA or a major GFSI scheme (SQF, BRCGS) tightened audit rules so that environmental monitoring and CCP verification records must be signed by a named, trained individual who physically witnessed the sampling — and explicitly barred AI-generated or unattended-instrument results from substituting — the technician position becomes the signature-bearer rather than a data feeder
If plants continue thinning QA management layers, the hold/release call on a marginal lot lands on the shift technician in real time rather than escalating; a union or company policy formally granting technicians stop-line authority (as some USDA-inspected plants already do for sanitation holds) would make that ownership explicit
Growth of allergen and pathogen environmental monitoring programs under FSMA 204 traceability rules increases the share of work that is unscripted swabbing of drains, overheads, and equipment interiors across changing plant layouts — sampling locations chosen by judgment, in wet/cold/confined spaces robots do not enter
The limit. Even with every lever, this caps in the low-to-mid 60s. Trust premium has no realistic route — no consumer or buyer will ever pay extra because a human ran the pH meter, and B2B customers care about the accreditation on the report, not who held the pipette. The role's fundamental problem is that sign-off authority sits one rung above it by design, and regulators write PCQI and authorized-signatory rules around degreed scientists, not technicians.
| Los Angeles-Long Beach-Anaheim, CA | 970 | $54,410 +4% |
| New York-Newark-Jersey City, NY-NJ | 580 | $60,020 +15% |
| Seattle-Tacoma-Bellevue, WA | 420 | $79,850 +53% |
| Riverside-San Bernardino-Ontario, CA | 390 | $50,900 -2% |
| Dallas-Fort Worth-Arlington, TX | 350 | $49,460 -5% |
| San Francisco-Oakland-Fremont, CA | 310 | $60,980 +17% |
| Indianapolis-Carmel-Greenwood, IN | 300 | $44,550 -15% |
| Portland-Vancouver-Hillsboro, OR-WA | 280 | $51,570 -1% |
| Columbus, OH | 40 | $86,300 +66% |
| Louisville/Jefferson County, KY-IN | 60 | $84,320 +62% |
| Jacksonville, FL | 50 | $83,030 +59% |
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 40. 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.