Talent Matching AI Employee
Overview
The Talent Matching Assistant is part of Ema's AI recruiter suite, offering a pre-built, end-to-end workflow that:
- Extracts key qualifications and skills from candidate resumes and job descriptions.
- Evaluates candidates against custom job requirements and screening criteria.
- Provides explainable scoring to generate shortlists with interview tips.
This workflow is instantiated by copy, so any updates to the template will not retroactively change existing AI Employees built from it.
Key Features
- Intelligent resume parsing -- Extract and normalize candidate information including skills, education, experience, certifications, and achievements from various resume formats.
- Custom scoring criteria -- Define evaluation parameters based on specific job requirements, must-have skills, and preferred qualifications.
- Bias mitigation tools -- Configure settings to reduce unconscious bias by focusing on qualifications rather than demographic factors.
- Candidates shortlisting -- Automatically generate shortlists with detailed scoring breakdowns and aggregated scores.
- Explainable results -- Access a full assessment log with justifications for scoring decisions and qualification matches.
How to Use
Configure Your Parameters
Resume extraction fields -- Specify information to extract, such as: Total Years of Experience, Relevant Experience, Education Level, Previous Job Titles, Past Companies, Certifications, Languages Spoken, Location/Relocation Status, Salary Expectations, Technical Skills, Domain-Specific Skills, Soft Skills, Awards, and Publications.
Job description extraction fields -- Specify information to extract, such as: Total Years of Experience, Relevant Experience, Education, Certifications, Language Requirements, Job Location, Technical Skills, Domain-Specific Skills, and Soft Skills.
Scoring criteria -- Write criteria in 1-2 sentences each. Examples:
- Domain expertise -- Score higher if candidate's domain expertise matches directly with job description expectation.
- Years of relevant experience -- Score higher if candidate's experience directly matches job requirements in years.
- Skill alignment -- Prioritize candidates proficient in core technical, domain-specific, and soft skills mentioned in the JD.
- Education and certifications -- Prefer candidates who meet or exceed degree and certification expectations.
Analysis instructions -- Provide detailed prompts, such as:
- "Summarize each candidate's key qualifications and experience relative to job requirements in three concise bullet points."
- "Identify skill gaps between job requirements and candidate profiles, suggesting potential training needs."
- "Flag exceptional candidates who exceed minimum requirements in critical areas."
Enable and Test
- Turn on your AI Employee.
- Upload job description and candidate resumes (PDF, DOCX, RTF, TXT). Alternatively, sync both job applications and candidate resumes from your ATS.
- Review candidates, match scores, and detailed descriptions in the dashboard.