Affinda’s Job Description Parser uses recent advancements in AI technology to extract data from job descriptions in 56 languages,
The Affinda Job Description Parser, like our Resume Parser, is built on top of our AI Engine, VEGA, which brings to market innovations in NLP (Natural Language Processing), Transfer Learning, and Computer Vision that enable us to understand documents like a human and return structured data from documents typically within 1 – 2 seconds.
How to use Affinda's Job Description Parser?
Our REST API is available to parse job descriptions. Simply post a job description to the API and we will return the extracted data in a JSON file. Further information about how to use our API and client libraries is available here.
Data extracted
Affinda returns all the key data fields from job descriptions. These data fields include:
- Job Title
- Occupation Classification
- Management Level
- Years Experience Required
- Organisation
- Location
- Job Contact Details (Name, Phone Number)
- Start Date
- Job Type (e.g. Full Time, Part Time, Casual)
- Languages Required
- Skills (mapped to a detailed best-in-class taxonomy containing over 3,000 soft and hard skills)
- Education Level Required
- Education Accreditation
- Certifications
- Remuneration