Sovia

The Job Reposting Report 2026

One company posted what reads as the same role under 154 different posting IDs. Across our pool, 20.9% of postings are recycled — the same title+company re-listed three or more times. We report observed posting behavior, not intent.

A fifth of 'new' job listings are the same roles, posted again. Here is who recycles the most — and how to spot it before you waste an afternoon.

SoviaJobs ResearchData through June 2026

Key findings

  • Turing posted the same role under 154 different posting IDs.
  • 20.9% of all postings are recycled (42,783 listings).
  • Recycling is concentrated on recruiter and staffing-oriented hosts — some recycle 80-90% of their postings.

The recycled-posting leaderboard

The companies whose postings most often re-appear under fresh IDs. Sort by any column — postings, percent recycled, or the largest single recycled cluster (max combo). These are observed posting patterns, not accusations of intent: a high number can reflect aggressive re-listing, multi-board posting, or evergreen pipeline reqs.

NameMax comboRecycled
  1. 1Turing
    154×97.4% recycled
  2. 2Microsoft
    116×65.7% recycled
  3. 3Amazon
    95×27.5% recycled
  4. 4Goliath Partners
    79×93.9% recycled
  5. 5Albertsons Companies
    64×95.9% recycled
  6. 6AARATECH
    61×100% recycled
  7. 7Microsoft AI
    59×62.9% recycled
  8. 8JPMorganChase
    51×25.8% recycled
  9. 9Adobe
    48×38% recycled
  10. 10Helic & Co.
    41×98.2% recycled
  11. 11AppFolio
    36×85.8% recycled
  12. 12BeaconFire Inc.
    35×84% recycled

Amber rows post a single role 50 or more times under fresh IDs. This is observed posting behavior, not an accusation of intent — it can reflect aggressive re-listing, multi-board posting, or evergreen pipeline reqs.

Example title
Turing1,19597.4%154Remote Senior Software Engineer – LLM Evaluation (US-based)
Microsoft1,51865.7%116Senior Software Engineer
Amazon2,54727.5%95Responsibilities
Goliath Partners16393.9%79Software Engineer
Albertsons Companies7495.9%64Front End Entry Level
AARATECH196100%61Data Analyst
Microsoft AI24562.9%59Senior Software Engineer
JPMorganChase1,29325.8%51Software Engineer [Multiple Positions Available]
Adobe41638%48Software Development Engineer
Helic & Co.11198.2%41Junior Software Engineer
AppFolio11385.8%36Manager, Software Engineering
BeaconFire Inc.18184%35Java Software Engineer
Bright Vision Technologies79195.2%33Java Full Stack Developer
Optum50737.5%32Senior Software Engineer
Capital One1,24948.1%31Lead Software Engineer, Full Stack
Jerry25093.6%31Senior Product Manager, Agentic AI
CVS Health79849%30Senior Software Development Engineer
Amazon Web Services (AWS)95433.4%29Software Development Engineer
Maximus16165.2%28Front End Developer – Mid-level
Leidos57538.8%27Software Engineer
Docusign11554.8%26Software Engineer
PayPal25848.8%26Sr Software Engineer
Acceler8 Talent10466.3%26Software Engineer
Oracle77630.8%25Software Developer 3
Oho Group6277.4%25Senior Software Engineer
Pearson7864.1%25Senior Software Engineer
Insight Global67835.8%24Software Engineer
BNY18846.8%23Vice President, Full-Stack Engineer
Robert Half40135.4%21Software Engineer
Meta24654.9%21Software Engineer, Infrastructure
FullStack11989.9%20Principal .NET Software Engineer - Remote - USA
The Walt Disney Company25143.8%19Sr Software Engineer
Veeva Systems44172.8%19Senior Software Engineer - Full Stack
Mercury Insurance11467.5%19Senior Software Engineer
CyberCoders33562.7%19Senior Software Engineer
EY34442.2%19FinTech - AI Finance - Front-end Software Developer - Senior
Applicantz15485.1%18Atlassian Cloud Administrator
Prime Video & Amazon MGM Studios9442.6%17Responsibilities
Chewy7754.5%17Software Engineer II
Amazon Science7821.8%17Responsibilities
Synchrony18347.5%16Front-End Engineer II – Digital Servicing
Mindrift16282.1%16Quantum Research Scientist with Python - Freelance AI Trainer
Visa20346.3%16Software Engineer
T-Mobile18155.2%16Sr Engineer, Software
CGS Federal (Contact Government Services)27490.9%16Network Engineer
GBIT (Global Bridge InfoTech Inc)5950.8%16Sr. Application Developer
Ascensus7758.4%16Software Engineer
Aditi Consulting7556%16Software Engineer
Venture Up8681.4%16Senior Python Software Engineer
Affirm19174.3%15Senior Software Engineer, Fullstack (Consumer Engineering)

How concentrated is reposting?

20.9%

of postings are recycled (3×+)

42,783 listings

154×

max recycled cluster (Turing)

428

combos posted 10+ times

The shape of reposting

Most title+company combinations appear once. The repeat behavior lives in the tail — the combos posted three, five, or ten-plus times. That tail is small in count but accounts for a large share of the listings you actually scroll past.

Reposting by host

Where a job is hosted strongly predicts how often it is recycled. Recruiter and staffing hosts top the list; large company ATS instances and aggregators recycle far less. Again, this is observed behavior by host.

What reposting means for your search

A re-posted req is not automatically fake — but it is not fresh demand either. Treat heavy recycling as a staleness signal and protect your time:

  • Check the posting date and whether it was “reposted” recently.
  • Search the exact title + company to see how many near-identical listings exist.
  • Note whether the same role from the same company keeps reappearing weekly.
  • Prefer the company’s own ATS over a board re-list when both exist.
  • If a posting has cycled many times with no responses reported, deprioritize it — spend that effort where hiring concentrates.
How this was measured (n=204,223)

Sample: 204,223 postings · Window: 2026-03-20 – 2026-06-09

Method

  • A 'combo' is a distinct title+company pair; its combo size is the number of separate posting IDs sharing that pair.
  • Recycled = combos with three or more posting IDs.
  • The leaderboard ranks companies by max combo size; repeated-share is the share of that company's postings inside a recycled combo.
  • Repeat-by-host share computed within each ATS host's postings.

Limitations

  • We observe posting patterns, not intent — recycling is not proof a job is fake.
  • Wording is deliberately neutral ('recycled posting patterns', not 'fake jobs by company X').
  • Title normalization can merge or split near-identical titles at the margin.
  • Corpus is tech & professional roles, not all US jobs.

Salary figures are platform-estimated posted ranges (posted or estimated), not employer disclosure. Corpus is tech & professional roles.

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Job reposting FAQ

Why do companies repost the same job?
Common reasons include refreshing a posting's visibility, keeping an evergreen pipeline req open, re-listing after a role goes unfilled, or posting one opening across multiple boards and IDs. In our data we observe the behavior; we do not assert any single company's intent.
Why is the same job posted multiple times on LinkedIn?
Often it's the same role re-listed under a new posting ID, sometimes across multiple boards at once. In our pool, 17.7% of LinkedIn-hosted postings are recycled — lower than recruiter-heavy hosts but far from zero.
How many times do companies repost a job?
It varies widely. Most title+company combinations appear once, but a long tail repeats — and the most extreme case in our data is Turing posting what reads as the same role under 154 different posting IDs.
Does a reposted job mean the job is fake?
Not necessarily. Recycling signals a stale, slow, or evergreen pipeline role rather than fresh demand — but it is not proof a job is fake. We report observed posting patterns, not intent, and use 'recycled posting patterns' rather than accusations.
How can I tell if a job has been reposted?
Check the posting date, look for the same title from the same company reappearing under different posting IDs, compare the description against older listings, and note whether the company is actually responding to applicants. If the same role keeps cycling, treat it as low-priority.