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Simply provide the job description, and interviews with tailored questions are swiftly generated to meet specific requirements and evaluation standards. You can also customize them to fit your internal guidelines.
Rank Candidates by Interviewing Score,
Profile Match or Language Proficiency
Comprehensive, Unbiased
Candidate Report
Jane S. Wood
Interviewing Final Score
90
Job Title:
Sr. software engineer
Location:
New York, USA
Availability:
Immediate
Work Setting:
Onsite, hybrid
Contract Type:
Contract
Compensation Expectation (USD):
$125K / year
Linkedin Profile:
Click here
CV:
Click here
Status:
INTERVIEW COMPLETED
Language Proficiency
Level:
B1 Intermediate
Evaluation:
The candidate uses basic vocabulary and simple sentence structures with ease.
* analysis is based on ACTFL framework terminology levels: Novice, Intermediate, Advanced, Superior, Distinguished
Profile Matching
Score:
90
Evaluation:
This candidate demonstrates a strong alignment with the requirements of the Software Engineer role. Their background closely matches the technical stack outlined in the job description, including hands-on experience with React, Node.js, and TypeScript. They’ve successfully worked on scalable web applications and contributed to both frontend and backend architecture.
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* the score reflects how well candidate’s CV skills & experience meet job requirements
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More Reasons To Hire With TalentHQ
Human-like Interviewing
We designed the product to facilitate interviews in a way that companies are currently conducting interviews. Our goal is to preserve the candidate experience while harnessing the benefits of traditional human interviewing alongside AI capabilities.
Focus and Key Areas
The interview flow is structured around focus areas and key guidelines for each question. This approach allows our AI solution to evaluate each candidate’s response precisely and accurately.
Anti-Cheating
We track actions like copy-pasting and tab changes, along with other behavioral cues, to detect candidate cheating during interviews.
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