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Posts dated August 2024 to May 2026

Large Language Models posts with salary details

5 job posts mention Large Language Models and include salary information.

A post can mention several technologies. These figures describe advertised starting amounts, not what employees were paid.

SALARY AMOUNTS COMPARED
5

Fewer than 30 usable salary amounts are available. Check the individual advertised ranges and currencies below.

Posts with salary details

5

Source-post dates

Aug 2024 to May 2026

Coverage

Public HN “Who is Hiring” posts that include salary details

What salary details are stated?

How specific are the advertised salary amounts?

Each post is grouped by the salary details extracted from it: a range, one exact amount, a minimum, or values that could not form a usable range. Extraction can miss details, so check the original post.

Salary details by stated currency
CurrencyRecordsTwo-sidedExactMinimum onlyInvalid
USD54100

Original pay evidence

Advertised offer bands

Each panel has a separate scale in the source currency. A band shows its stated lower and upper amounts; a marker shows a minimum with no upper amount. Pay period is not preserved in the listing record. These are historical advertisements, not confirmed current vacancies.

USD advertised bands. Scale covers known endpoints from 100,000 to 280,000.
RoleCompanyNative offer bandBand position, USDPost dateRemote markSource
Full Stack Engineer Norm AiUSD 190,000–280,000May 2026Not marked remoteView source post
Full Stack Engineer, Senior + Staff Norm AiUSD 190,000–270,000Mar 2026Not marked remoteView source post
Full-stack Engineer ShortformUSD 120,000–200,000Aug 2025Marked remoteView source post
Software Engineer, Linguist, Writer Outlier.aiUSD 100,000–100,000Dec 2024Marked remoteView source post
Senior Data Scientist Unite UsUSD 130,000–160,000Aug 2024Marked remoteView source post

In these posts

What stands out in Large Language Models posts

Counts are based on posts naming this technology. A post may describe multiple openings; its role-level label applies to the post, not necessarily each opening.

Most represented company

Norm Ai

2 of 5 posts

4 distinct company names in these posts

Most common other technology tag

Full Stack

Also tagged in 2 of 5 posts

Role level recorded on the post

Senior3
Mid2

Other technologies named together

How Large Language Models posts overlap with other technologies

Each row counts posts naming that technology; a post can appear in more than one row. Salary figures are approximate annualized USD estimates of advertised minimums, not full offer ranges or employee pay.

Technology names, post counts, approximate advertised-minimum estimates, and overlap with Large Language Models posts
TechnologyPosts naming this technologyComparable estimatesMedian estimateMiddle halfPosts also naming Large Language ModelsFirst and last post
Large Language Models These posts55Not shownNot shown5Aug 2024 to May 2026
Full Stack3636$140k$125k to $180k2Sep 2024 to Jul 2026
AI Models22Not shownNot shown1Dec 2024 to Jan 2025

Approximate annualized USD estimates of advertised minimums are shown only when there are at least 30 comparable posts. “Not shown” means fewer than 30.

Starting-salary history

Advertised minimums over time

Each dot is one post’s approximate USD estimate of its advertised minimum, linked to the source post. The chart shows up to the 120 newest comparable estimates, from Aug 2024 to May 2026; older months remain in the table, so a missing dot does not mean there were no posts. Monthly summaries appear only with at least 30 comparable estimates. Values are approximate annualized USD estimates of advertised minimums, not full offer ranges or employee pay. They use a common comparison basis, not historical exchange rates or inflation. The mix of companies, recorded role levels, and currencies can change month to month.

Approximate annualized USD estimates of advertised minimums by source-post date Individual linked post floors appear as dots. Eligible month summaries show the p25 to p75 interval and a median mark. The vertical axis is approximate USD and begins at zero. Months without a valid point have no dot. 0k51k103k154k205k Source-post dateApproximate annualized USD estimate Aug 24Mar 26 Aug 2024 · 130,000 approximate USD floor · source post 41130440Dec 2024 · 100,000 approximate USD floor · source post 42312190Aug 2025 · 120,000 approximate USD floor · source post 44757820Mar 2026 · 190,000 approximate USD floor · source post 47309381May 2026 · 190,000 approximate USD floor · source post 48011263 Aug 2024May 2026
Individual post, links to sourceMonthly middle-half range and median, shown with at least 30 comparable estimates
Monthly post counts and salary estimates
Monthly source-post counts and valid approximate USD advertised-minimum counts. Statistics are shown only when monthly valid sample size is at least 30.
MonthSource postsComparable estimatesMedian estimateMiddle half
Aug 202411Not shownNot shown
Dec 202411Not shownNot shown
Aug 202511Not shownNot shown
Mar 202611Not shownNot shown
May 202611Not shownNot shown
Exact values for the 5 plotted source posts
Exact approximate USD floor value and date for each plotted source listing
DateApproximate annualized USD estimateSource
Aug 2024130,000Post 41130440
Dec 2024100,000Post 42312190
Aug 2025120,000Post 44757820
Mar 2026190,000Post 47309381
May 2026190,000Post 48011263

Other technologies named together

Which other technologies appeared in these posts?

For each month, this lists the three most-mentioned other technologies and how many posts named each one. A post can mention several technologies, so these counts overlap and do not add up to the number of posts.

Monthly counts for the most common other technology tags, with each month’s source-post denominator
MonthPosts that monthOther technologies named
Aug 20241
No other technology summary
Dec 20241
AI Models1 / 1
Aug 20251
Angular1 / 1
Mar 20261
May 20261

Companies named more than once

Where these companies appear in the posts

Counts show source posts under each company name. They do not measure company size, current hiring, or how often a company hires. One post can describe several roles.

Source posts by company, with observed dates, role titles, technology names, remote wording, and stated currencies
CompanyPostsFirst and last postMonths with postsRole titlesTechnology tagsMarked remoteCurrencies
Norm Ai2Mar 2026–May 20262220 / 2USD

Role level and remote wording

Which role levels appear under each remote label?

Role levels are the labels recorded for each post, including Unknown. “Not marked remote” does not confirm an onsite workplace. A post may describe several openings.

Senior

3 posts

Marked remote 1

Not marked remote 2

Mid

2 posts

Marked remote 2

Not marked remote 0

Technology names per post

How many technologies are listed together?

Each post is counted once, according to how many distinct technology names it contains. This describes the post text, not required skills or role complexity.

1 tag1
2 tags3
12 tags1

Places mentioned in post text

Which places do these posts mention?

These bars compare city and nearby-area matches in this group with matches across all posts that state pay. Matches come from post text, not verified work locations. A post can match more than one place.

San Francisco

0 of 5 in this group
This group0.0%All posts with salary details325 of 1616 (20.1%)

New York

2 of 5 in this group
This group40.0%All posts with salary details330 of 1616 (20.4%)

London

0 of 5 in this group
This group0.0%All posts with salary details112 of 1616 (6.9%)

Berlin

0 of 5 in this group
This group0.0%All posts with salary details30 of 1616 (1.9%)

Location labels in these posts

Broad categories recorded for the posts

These broad labels do not confirm a specific city or where an employee lives.

  • Remote3
  • Other2

Role level recorded on the posts

Posts grouped by recorded role level

Each group uses the role-level label recorded for the post. One post may describe several openings, so the label may not apply to every position in the advertisement.

Role titles in these posts

  • Full Stack Engineer1
  • Full Stack Engineer, Senior + Staff1
  • Full-stack Engineer1
  • Senior Data Scientist1
  • Software Engineer, Linguist, Writer1

Companies named in these posts

Other technologies named

Posts can name several technologies, so they may appear in more than one group.

Monthly source-post counts

Posting history

When the posts appeared

Monthly counts of matching source posts. This shows how many posts appeared, not salary growth or current vacancies.

Monthly counts of posts with salary details on this page
MonthPostsRelative volume
Aug 202411 posts
Dec 202411 posts
Aug 202511 posts
Mar 202611 posts
May 202611 posts

Full source listing

Posts mentioning Large Language Models

COMPANY ROLE SALARY VIBE STACK Actions
Norm Ai Full Stack Engineer
$190,000 - $280,000
@HR stable
Full Stack Large Language Models
Norm Ai Full Stack Engineer, Senior + Staff
$190,000 - $270,000
@HR grind
Full Stack Large Language Models
Unite Us Senior Data Scientist
$130,000 - $160,000
[F] grind
Large Language Models
Shortform Full-stack Engineer
$120,000 - $200,000
[F] grind
Outlier.ai Software Engineer, Linguist, Writer
$100,000 - $100,000
@HR stable
AI Models Large Language Models
Data and method

Listings tagged with the normalized technology Large Language Models. These figures describe advertisements, not verified employee earnings or currently open jobs.

Dates of included posts
2024-08-01 to 2026-05-04
Posts used
5 listings; 5 valid salary-minimum observations
What we compare
Median annualized estimate of advertised salary minimums
Currency conversion
Approximate USD using ECB daily reference rates as of 2026-10-09.

Fewer than 30 usable salary amounts are available, so we do not show a group median. Check the individual offers instead.

2026 includes 2 listings and 2 usable amounts. Its median is withheld below 30 usable amounts. This year overlaps the full history; it is not an independent sample or evidence of a pay trend.

Source: Hacker News “Who is Hiring?”, aggregated by StartupJobList. Read the methodology and correction policy.

Data version for citation: 0692f141bfd7f932d761209beb2df447790c073760302f60051ab1d6c328bfc8