Data sources
last updated: 16 April 2026
Applied Methods is a data intelligence platform. We aggregate publicly available job postings from AI companies and enrich them with our own classification and editorial analysis. This page explains where our data comes from, how we handle it, and what belongs to whom.
We collect publicly available job postings that AI companies publish on their own careers pages. Each posting on Applied Methods links back to the original source, and we show the same information a visitor to the company's careers page would see.
We do not collect personal data about candidates or employees. Applications are never submitted through Applied Methods — clicking Applyon a listing takes you to the company's own application flow.
Postings are read from the official public endpoints provided by the applicant tracking systems (ATS) that companies choose to publish through:
- Ashby — public job board JSON
- Greenhouse — public job board API
- Lever — public postings API
- Workable — public job board feed
These are the same endpoints a company's own marketing site calls to render its careers page. We do not circumvent authentication, rate limits, or technical access controls, and we do not scrape behind a login.
For each posting we store the fields the ATS exposes publicly, including:
- Company name, careers URL, and ATS identifier
- Job title, description, team or department, and location
- Employment type, workplace type, and compensation where published
- The canonical apply URL on the company's own ATS
On top of the raw postings we layer our own analysis:
- Classification — each job is tagged with a function category and a canonical role drawn from our own taxonomy
- Location normalisation — raw location strings are mapped to a canonical list of cities, countries, and remote regions
- Snapshots — daily counts of headcount, function mix, and role distribution, used to produce hiring trends
- Editorial content — written role descriptions, articles, and commentary produced by Applied Methods
Job posting content — titles, descriptions, and the rest of the text published on a company's careers page — remains the property of the respective company. Company names, logos, and marks belong to their owners.
Our classification taxonomy, role definitions, written analysis, aggregated statistics, and site design are the property of Applied Methods Ltd.
If you represent a company whose postings appear on Applied Methods and you want data corrected, specific listings removed, or the company removed entirely from the database, see the takedown process. We action good-faith requests promptly and without argument.
Questions about our data sources or methodology: contact@appliedmethods.ai.