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Scores LinkedIn jobs against your profile with Jev: Ignore, Possible, Good, Great or Ideal. Stop reading job ads that were never a fit. JobTier scores every LinkedIn job against your own profile and tags it with a tier you can take in at a glance: Ignore, Possible, Good, Great or Ideal. HOW IT WORKS • Add your profile: upload your CV (PDF, Word or text), import your own LinkedIn profile in one click, or type it. • Set your preferences: target roles, location, remote / hybrid / on-site, minimum salary, and dealbreakers such as "requires security clearance". • Browse LinkedIn as normal. Each job card gets a tier pill and a confidence score as it scrolls into view. WHAT YOU SEE • Tier pills on job search results (classic and AI search), on the feed's recommended jobs, and on job links in posts. • A panel for the open job: tier, confidence, ratings for skills, seniority, location and salary, and any dealbreakers it hits. • A "Show" filter in the toolbar popup that hides jobs below the tier you choose. • Jobs posted two weeks ago or more are marked Ignore without spending a request. • Scores are AI estimates. Read the job before you decide. YOUR KEY, YOUR COSTS JobTier uses TypeSafe's Jev model. Bring your own API key from TypeSafe or OpenRouter. Scores are saved and reused, and a daily limit (200 by default) keeps spending in check. PRIVATE BY DESIGN • Your profile, preferences and keys stay in your browser. • Profile and job details go only to the provider you choose, and never to us. • No analytics, no tracking, no ads. JobTier is an independent extension. It isn't made by, endorsed by or affiliated with LinkedIn or TypeSafe.
Oct 21, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.