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job-eval Review

job-eval is an AI tool that evaluates the fit between resumes and job descriptions using a specialized 156M-parameter ModernBERT model.

shipped Aug 10, 2026marketingpaid
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job-eval — product screenshot

Why it matters

1Utilizes a 156M-parameter ModernBERT model for resume-job description evaluation.
2Provides an overall score, multiple interpretable metrics, and detailed evidence for scoring decisions.
3Offers a free tier with 5 free evaluations.
4Usage pricing is set at $0.10 per evaluation.

About job-eval

Business Model
Subscription SaaS
Usage Pricing
$0.10/evaluation per evaluation
Free Credits
5 free evaluations
Platforms
Web
Target Audience
Recruiters and hiring managers

Pricing Plans

Free Tier
Free
  • Resume and job description evaluation
  • Overall scoring
  • Four interpretative heads
Premium Tier
null / null
  • Advanced feature set
  • In-depth analytics
  • Increased usage limits

Cost Examples

  • Evaluate 10 resumes: ~$1.00
  • Evaluate 100 resumes: ~$10.00

Leadership

Claude CodeFounder

overview

What is job-eval?

job-eval is a resume-job description evaluation tool developed by Claude Code that enables recruiters and hiring managers to assess the fit between resumes and job descriptions. It employs a specialized 156M-parameter ModernBERT model to provide an overall score, multiple interpretable metrics, and detailed evidence for its scoring decisions. The platform is designed to enhance talent acquisition efficiency by offering stable and consistent outputs, making it a cost-effective alternative to frontier models.

features

Key Features of job-eval

job-eval incorporates several technical features designed to provide comprehensive and transparent evaluations of resume-job description compatibility. These features are built around its core 156M-parameter ModernBERT model.

  • 156M-parameter ModernBERT model for advanced semantic analysis.
  • Four explicit scoring heads for multi-faceted evaluation.
  • Readable explanations for evaluation decisions, enhancing interpretability.
  • Overall compatibility score for quick assessment.
  • Multiple interpretable metrics providing granular insights.
  • Detailed evidence supporting scoring decisions.
  • Cost-effective evaluation compared to larger frontier models.
  • Stable and consistent output generation across evaluations.

use cases

Who Should Use job-eval?

job-eval is primarily designed for professionals involved in talent acquisition and human resources who require an objective and data-driven approach to candidate screening. Its capabilities are particularly beneficial for streamlining recruitment workflows.

  • Recruiters: To efficiently screen resumes against job descriptions, identifying top candidates based on fit.
  • Hiring Managers: To quickly evaluate candidate suitability and ensure alignment with specific role requirements.
  • Talent Acquisition Teams: To enhance the overall efficiency of the hiring process and reduce time-to-hire.
  • HR Professionals: To support objective decision-making in candidate selection and reduce potential bias.

how to use

How to Use job-eval

To begin using job-eval, users typically navigate to the web platform and input the relevant resume and job description data for evaluation. The process is designed to be straightforward, providing immediate feedback.

  • 1Access the job-eval web platform.
  • 2Upload or paste the candidate's resume text.
  • 3Upload or paste the job description text.
  • 4Initiate the evaluation process.
  • 5Review the overall score, interpretable metrics, and detailed evidence provided by the ModernBERT model.

pricing

job-eval Pricing & Plans

job-eval operates on a freemium model, offering a free tier for initial usage and a usage-based pricing structure for additional evaluations. This allows users to test the service before committing to higher volumes.

  • Free Tier: Includes 5 free evaluations.
  • Usage Pricing: $0.10 per evaluation after the free credits are exhausted.

Pros

  • +Utilizes a specialized 156M-parameter ModernBERT model for nuanced evaluations.
  • +Provides detailed, interpretable evidence for scoring decisions, enhancing transparency.
  • +Offers multiple interpretable metrics beyond a single score.
  • +Includes a free tier with 5 evaluations, allowing for initial testing.
  • +Cost-effective at $0.10 per evaluation compared to larger AI models.
  • +Delivers stable and consistent outputs for reliable assessment.

Cons

  • The provided URL (job-eval.com) redirects to a general search page, making direct access to the tool challenging.
  • Lacks direct integrations with Applicant Tracking Systems (ATS) or other HR platforms.
  • No explicit API available for custom integrations.
  • Focuses solely on resume-job description fit, without broader resume building or optimization features.
  • Limited information available on the developer or company beyond the founder's name.

Similar Tools

job-eval vs Competitors

The market for AI-powered resume and job description evaluation tools is competitive, with several platforms offering distinct approaches. job-eval differentiates itself through its specialized ModernBERT model and focus on detailed, interpretable evidence.

1

Provides a detailed match report, highlighting missing keywords and skills, and suggesting improvements based on ATS best practices.

Jobscan focuses heavily on keyword matching and ATS optimization, offering actionable advice to improve resume scores, whereas job-eval emphasizes a more advanced AI model for overall fit and detailed evidence.

2

Offers AI-powered feedback on various aspects of a resume, including impact, skills, and ATS compatibility, with specific suggestions for improvement.

Resume Worded provides broader feedback on resume quality beyond just job description matching, while job-eval is more narrowly focused on the direct fit between a resume and a specific job description using a specialized AI model.

3

Specializes in identifying and highlighting keywords from a job description that are missing or underrepresented in a resume.

SkillSyncer is primarily a keyword matching tool, offering a straightforward comparison of terms, whereas job-eval uses a more complex AI model to understand semantic fit and provide detailed scoring evidence.

4

Integrates an ATS compatibility checker directly into its resume builder, allowing users to optimize their resume against a job description in real-time.

Rezi.ai's ATS checker is often part of a larger resume building platform, offering optimization during creation, while job-eval is a standalone evaluator focused solely on analyzing existing resumes against job descriptions.

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