Employer of Record

A job matching algorithm operates by extracting structured requirements from job descriptions — required skills, experience parameters, role context — and comparing them against structured candidate profile data to calculate a compatibility score for each candidate-role pairing. The quality of the output depends on the quality of both inputs: vague job descriptions that list everything as required and sparse candidate profiles with only job titles and dates produce poor match quality regardless of algorithm sophistication. The most important calibration decision is defining which requirements are hard filters versus soft preferences — candidates who fail a hard filter should not appear in results, while soft preferences should affect ranking without exclusion.