How AI job matching works
JobRipe compares open jobs with what you're looking for and gives each one a match score out of 100, with the reasons it fits and the gaps that pull it down. AI reads your resume into a profile; the score itself comes from clear rules, so you can see exactly why a job was suggested.
What it does
- Scores open jobs against your profile and shows the best first.
- Explains every score: up to three reasons it fits (for example “You have 4 of 6 key skills”) and up to three gaps.
- Fills a daily queue with your best new matches (a score of 50 or more) that aren't already in your queue and that you haven't applied to.
- With no account, matches a resume you upload to open jobs in your country and remote jobs.
How a match score is worked out
Five parts add up to a score out of 100:
1. Role and title
up to 30 pointsA job whose title contains most of the meaningful words of a title you're targeting scores highest. A job in one of your fields scores a little less, and a partial title overlap less again. Words like senior, junior, remote or contract are ignored here, because they describe the level or setup, not the job. A job outside your fields can never be labelled a good match: its score is capped.
2. Skills
up to 30 pointsWe compare the skills named in the posting (up to the first ten) with the skills on your profile, and give points for the share you have. The reasons list the skills you share; the gaps list the ones you'd need to show. If a posting names no skills, it gets a neutral half score.
3. Level
up to 15 pointsThe job's level (intern, junior, mid, senior, staff, manager, director, executive) is compared with yours. The same level scores full points, one step away scores about half, and a bigger gap shows up as a gap.
4. Location and work setup
up to 15 pointsA job in a city you chose, or a remote job open to where you are, scores full points; a job elsewhere in a country you chose scores less. A setup you don't accept (for example on-site when you only want remote) or a remote job limited to another country counts against the job.
5. Visa, pay and freshness
about 10 pointsIf you need visa sponsorship, a posting that offers it earns points and one that says it doesn't sponsor loses a lot. If you set a minimum pay, a published range that reaches it (in the same currency) earns points, and one below it shows as a gap. Jobs posted in the last seven days get a small boost, because early applicants get seen.
Scores of 75 and above are labelled Strong match, 55 to 74 Good match, and lower scores Possible match.
What data it uses, and what it doesn't
Uses
- From your profile: target titles and fields, skills, level, locations, work setup (remote, hybrid, on-site), whether you need a visa, minimum pay.
- From the job: title, field, skills named in the posting, level, place and setup, pay range, what it says about visa sponsorship, and when it was posted.
- For a resume match: the resume's text, any title you type, and the place you choose (or, if you leave it blank, the country your connection comes from).
Doesn't use
- Your name, photo, age, gender or nationality.
- Where you studied.
- Anything about you that isn't in your profile. A resume used for the no-account resume match isn't stored.
Limits worth knowing
- Matching can only use what a posting says. Many postings don't publish pay or mention visas, and skills are detected from the text, so some will be missed.
- A high score means a job fits what you asked for. It doesn't mean the employer will agree, and a lower score doesn't mean you shouldn't apply.
- Matching never changes a job's source label: jobs from public job boards are labelled with the board's name whatever their score.
Make the most of it
Questions people ask
Is the match score made by an AI model?
No. The score is worked out by fixed, published rules that compare the job with your profile, so the same job and profile always give the same score, and every score comes with its reasons and gaps. AI is used to read a resume you upload into a profile (titles, skills, experience), and in tools such as resume tailoring and interview practice.
What do Strong, Good and Possible match mean?
Strong match is a score of 75 or more out of 100, Good match is 55 to 74, and anything lower is a Possible match. The score is a guide to where to spend your time, not a prediction that you'll be hired.
Which jobs are considered for my matches?
Open jobs in your fields or whose text contains words from your target titles, in the countries you chose (plus remote jobs if you accept remote work). The newest of these are scored and the best are shown first.
Does matching use my name, age, gender or photo?
No. The score uses only your target roles, fields, skills, level, locations, work setup, whether you need a visa and your minimum pay. It doesn't use your name, photo, age, gender, nationality or where you studied.
How do I get better matches?
Add two or three specific target titles, list your skills the way job postings write them, set your level and the places you'd work (and whether remote is fine), say if you need visa sponsorship, and set a minimum pay with its currency. Keep it up to date as your search changes.
Does it apply to jobs for me?
Only if you turn auto-apply on yourself (a Pro feature), and then only to jobs that accept applications through us and score at or above the minimum you choose. Otherwise matches go into your daily queue for you to review.
Questions about how your data is used? See the privacy policy or email support@jobripe.com. More on how AI is used on JobRipe.