Should I Apply to Old Job Postings? We Aged 3,777 AI Jobs

Short answer: yes, apply — and stop reading the date. On September 6, 2026 we aged every one of the 3,777 open roles on 20 AI and robotics employer job boards. The median open role was first published 57 days ago, not the 15 days the boards display, and 37% have been open longer than 90 days. Then we checked which ones died: of the postings that were already more than six months old on August 29, only 2.5% were gone eight days later — a lower closing rate than postings under a week old (5.9%).

The question shows up in our inbox in one of two shapes. Either “this job was posted three months ago, is it dead?” or the sadder version, “I found it too late.” Both assume the little grey date under the job title means something.

We read those dates for a living. Every morning a script here pulls the public feeds behind 20 employer career pages — OpenAI, Anthropic, Waymo, Figure AI, Scale AI, xAI and the rest — and files what it finds into our jobs tracker and our jobs board. This week we turned the script on the dates themselves. What came back was uncomfortable enough that we changed our own board before publishing this.

The date on the posting is often not the date it was posted

Most of these companies run their hiring on one of two systems, Greenhouse or Ashby, and both publish a job feed that anyone can read. Greenhouse’s own Job Board API documentation lists three date-ish fields on every job: first_published, updated_at, and application_deadline.

The date you see on the careers page is usually the second one. And updated_at moves whenever anyone on the hiring team touches the record — fixes a typo, adds a location, re-syncs the board. Nothing about the job changes. The clock just resets.

Table comparing the posted date shown on eight AI company job boards with the true first-published date from the same feed
Both numbers come out of the same public feed on the same morning. Only one of them is on the page you read.

Waymo is the cleanest case. On September 6 every single one of its 344 open roles showed a posted date of three days ago or newer. Read first_published on the same 344 roles and the median is 87 days, with 48% over three months old. We can prove the restamping rather than infer it, because we scanned the same boards on August 29 and kept the file: of the 316 Waymo listings that appear in both scans, unchanged and at the same URL, 316 had moved their date forward. All of xAI’s 233 did too. Across all boards, 716 of 3,454 surviving listings (20.7%) got a fresher date in eight days without being new.

A white Waymo Jaguar I-Pace with roof-mounted sensors driving on a city street
Waymo had 344 US and international roles open on September 6, and every one of them looked three days old. The median was really 87 days. Photo: 9yz, CC BY 4.0, via Wikimedia Commons.

The practical damage runs in one direction. On September 6, 356 roles looked a week old or newer and were actually more than 90 days old. Across the whole set, 1,570 postings (41.6%) showed a date fresher than the truth, by a median of 73 days. Not one showed a date older than the truth. If the date is wrong, it is wrong in the direction that makes you feel early.

How old are these jobs really

Bar chart of the true age of 3,777 open AI and robotics jobs, from under a week to over a year
Aged by the date each employer’s own feed says the role was first published, September 6, 2026.

Two thirds of open AI jobs have been open for over a month. One in three is older than a quarter. And 213 of them — 5.6% — have been collecting applications for more than a year.

The oldest is a Helix AI Engineer, Perception role at Figure AI, first published on November 15, 2022. That is 1,390 days. We opened it on September 6, along with the four next-oldest at OpenAI, Scale AI and Nuro. All five load, and all five still have an apply button.

Do old postings close sooner? We checked

Age is only worth worrying about if it predicts something. So we ran the obvious test on the eleven boards that publish a true posting date: take every role open on August 29, sort by how old it was that day, and see which ones were gone by September 6.

Bar chart showing the share of AI job postings that closed within eight days, grouped by how old they were
One eight-day window, 1,937 roles. The oldest cohort was the most stable, not the least.

The pattern people expect — old listing, about to vanish — is not there. Postings over six months old closed at 2.5% over the eight days. Postings under a week old closed at 5.9%, more than double. The middle buckets sit between 3.6% and 7.2% with no trend. Across the whole sample, 102 of 1,937 roles closed, roughly 0.7% a day.

That daily rate is the only clock that actually exists here, and it ticks at the same speed for a role posted yesterday and a role posted last winter. Waiting a week costs you about five percent of the doors. Waiting because a posting looks old costs you nothing you were going to get anyway.

There is no closing date, and that is the real answer

Here is the number that reframed this piece for us. Greenhouse gives every employer an application_deadline field. We read all 1,781 postings on the eight Greenhouse boards we track. The number that filled it in: zero. The number carrying an internal requisition ID: 1,780.

A single antique clock on the white panelled wall of a federal courtroom
Courts run on deadlines. Private job postings do not: none of the 1,781 we read published one. Photo: Carol M. Highsmith, Library of Congress, public domain.

Federal jobs are different — a USAJOBS announcement has a real closing date printed on it, which is why the federal process rewards calendar discipline in a way private hiring does not. On a company board there is no bell. A req is open until a hiring manager closes it, and it closes when they fill it, freeze it, or forget it. “Am I too late?” has no answer because there is no schedule to be late against. The only meaningful question is whether the posting is still in the employer’s feed today, and you can check that in ten seconds.

What an old posting usually is

Old does not mean fake, and it does not mean live, either. In our data the year-plus roles cluster into three recognizable shapes.

Shape Looks like What it means for you
Pipeline req“General Application”, broad titles, no team namedReal, permanently open, low odds per application. Cognition’s general application has been up since March 2024.
Always-hiring roleTechnician, operator, data center, serviceReal and repeatedly filled. Figure AI’s Robot Service Technician has been posted 758 days.
Hard-to-fill senior roleNarrow research or infrastructure title, high bandGenuinely unfilled. Age is a signal of difficulty, which can favor a non-obvious candidate.
Categories assigned by reading the 213 roles open more than a year on September 6, 2026.

Of the 1,399 roles open more than 90 days, 1,124 are in the US, 812 publish a pay range, 333 are remote and 48 are entry-level. The old pile is not junk. It is where a third of the disclosed-pay market lives — and pay disclosure is its own story, which we took apart in why AI salary ranges are so wide.

Rows of black server racks with patch panels and cabling in a data center
Infrastructure and technician roles are the ones that stay posted longest, because they get filled and reopened. Photo: Carl Lender, CC BY 2.0, via Wikimedia Commons.

Four checks that beat looking at the date

  1. Open it on the employer’s own domain. If the role is still listed at greenhouse.io, ashbyhq.com or the company’s careers page, it is in the live feed today. That is the only freshness signal that means anything. A copy on an aggregator can outlive the original by weeks.
  2. Ignore “posted 2 days ago” on a company board. Now that you know eight of our twenty boards restamp, treat that line as decoration. Our jobs board now shows the first-published date instead, which is why some listings there suddenly look older than they did last week.
  3. Read the title for shape, not the date. “General Application” is a pipeline. A named team and a named manager is a live req. A technician role that has been up 400 days is a role they hire for continuously, so today is as good as any day.
  4. Apply within the week you find it, then move on. Roughly 0.7% of postings vanish per day. That is the actual cost of delay, and it is the same whether the job went up yesterday or in 2023. Nothing here says a human is reading — only that the door has not been shut.

We are not recruiters. We take no money from employers, we never charge to see a posting, and every link above goes to the employer’s own page. Postings can close any hour — the official page always wins over anything we publish. And no posting, of any age, ever asks you to pay, to deposit a check, or to accept an offer that arrived by text message. More on how we count: our methodology.

Ghost jobs, and where this argument stops

There is a fair objection to everything above: a posting can be in the feed and still be going nowhere. That is the “ghost job” complaint, and our data cannot rule it out. We can see the door. We cannot see whether anyone is behind it.

CNBC, “What The Rise Of Fake Job Listings Says About The Job Market” — 1,658,186 views, checked September 6, 2026.

Note what the ghost-job argument actually implies, though. If a listing is a placeholder, it was a placeholder on day one too. Age is not the tell. The tells are the ones in the CBS segment below: no named team, no requisition number, a company that has posted the same role continuously through a hiring freeze, or a “recruiter” who moves the conversation to a messaging app.

CBS News, “More companies are posting fake job listings. Here’s how to spot them.” — 152,084 views, checked September 6, 2026.

If a posting asks you for money at any stage, it is not a stale job. It is a scam, and the age of it is the least of the problem. We keep the four rules in our piece on AI training work.

What to do with this today

  • Go back to the three jobs you skipped because they looked old. Check each one on the employer’s domain. If it loads, apply this week.
  • Filter our jobs board to entry-level or remote and sort by pay rather than by date — there are 104 entry-level roles open right now, median true age 81 days.
  • If you are aiming at one company, start with the two we have taken apart in detail: Anthropic and xAI in Memphis.
  • Check the running counts on the tracker before you write a cover letter that guesses at the market.

If you want to go deeper

Ask the desk

Tell us the role, the city and the constraint — part-time, no degree, over 50, night shift — and we will go through the boards for you and post what we find. It is free and there is no catch. Post your request on the Jobs Desk, or ask us anything else. One short email a month, no more.

Questions people actually ask about old listings

Should I apply to old job postings?

Yes. On September 6, 2026 we measured 3,777 open AI and robotics roles and found that postings more than six months old closed at 2.5% over the following eight days, while postings under a week old closed at 5.9%. Age did not predict closing. Check that the role is still on the employer’s own site, then apply.

How long do job postings stay open?

Longer than most people assume. In our September 6 count the median open AI job had been posted 57 days, two thirds were older than a month, 37% were older than 90 days and 213 had been open more than a year. The oldest still accepting applications went up in November 2022.

Why does a job say posted 2 days ago when it has been up for months?

Because the date shown is usually the last-updated timestamp, not the original posting date. Both fields sit in the same public feed. On September 6 we found 356 roles that looked a week old or newer but were really more than 90 days old, and 1,570 in total whose shown date was fresher than the truth, by a median of 73 days.

Is a job posting from three months ago already filled?

Sometimes, and there is no way to tell from the outside. What we can say is that the posting being three months old does not make it likelier to close than a fresh one. If it has been filled, the req usually disappears from the employer’s feed — 262 of the 3,716 roles we saw on August 29 were gone eight days later.

Do job postings have a deadline?

Private ones generally do not. Greenhouse gives employers an application-deadline field, and on September 6 not one of the 1,781 postings we read had filled it in. Federal announcements on USAJOBS are the exception: those carry a real closing date and you should treat it literally.

Is it too late to apply if the posting is a year old?

No, but adjust what you expect. Year-old postings tend to be pipeline reqs, continuously hired technician roles, or genuinely hard-to-fill senior positions. All three accept applications. The first gives you the lowest odds per application, the third can favor an unusual candidate.

How can I tell if an old job posting is still real?

Open it on the employer’s own domain rather than an aggregator, and look for a named team and a requisition number. If the page loads on greenhouse.io, ashbyhq.com or the company careers site today, the req is in their live feed today. Aggregator copies routinely outlive the original.

Should I apply to a job posted on the same day it goes up?

Applying early is fine, and it costs nothing, but our numbers give no reason to panic-apply. Fresh postings closed slightly faster than old ones in our eight-day window, and the overall rate was about 0.7% of postings disappearing per day. Waiting a week costs roughly 5% of your options.

Cite this: profhlab Jobs Desk, “Should I apply to old job postings? We aged 3,777 AI jobs,” September 6, 2026. Median true age of open roles 57 days; 37% open more than 90 days; postings over 180 days old closed at 2.5% over eight days versus 5.9% for postings under a week. profhlab.com/ai-jobs-tracker

Method and limits. We read the public Greenhouse and Ashby feeds of 20 AI and robotics employers on September 6, 2026; 19 answered (the Google DeepMind board returned 404). True age uses first_published on Greenhouse and publishedAt on Ashby; the “board shows” figure uses updated_at. Closure rates compare the same feeds against our own August 29 scan and cover eight days and one cohort, not a full life table. Survival is measured only on the eleven boards whose dates are stable, because a restamped date cannot be aged. Being in the feed is not evidence that anyone is reading applications. No federal USAJOBS records are included in this count.

Written by Prof. H, who has spent the week arguing with timestamps. The Jobs Desk publishes daily; the underlying counts refresh every morning on the tracker and the board. Next: what the eight-day disappearance rate looks like company by company, and whether the roles that vanish are the ones that pay.

Prof.’s H Newsletter

One short email a month, with the numbers in it

What actually moved in AI hiring, AI prices, and the scams aimed at older Americans. Counted here, dated, and linked to the source. One email a month, and your address goes nowhere else.

Similar Posts