Identify a resume's job history count
using AI
Below is a free classifier to identify a resume's job history count. Just input your text, and our AI will predict the number of relevant job experiences a candidate has - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("a-resumes-job-history-count", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/a-resumes-job-history-count/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/a-resumes-job-history-count/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the number of relevant job experiences a candidate has.
This pretrained text model uses a Nyckel-created dataset and has 52 labels, including 0 Jobs, 1 Job, 10 Jobs, 11 Jobs, 12 Jobs, 13 Jobs, 14 Jobs, 15 Jobs, 16 Jobs and 17 Jobs.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of relevant job experiences a candidate has).
Whether you're just curious or building a resume's job history count detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify a resume's job history count at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Resume Quality Assessment: This function can be used to evaluate the quality of resumes submitted to a job portal by counting the number of job histories. A higher number of job histories can indicate a more experienced candidate, potentially reducing the time recruiters spend on filtering resumes.
- Candidate Screening: Human Resource departments can implement this function during the initial screening process to quickly assess candidates' job histories. It helps identify overqualified candidates or those who frequently change jobs, enabling better alignment with the company's stability requirements.
- Skill Gap Analysis: Organizations can leverage this function to analyze the job history count within specific industries or roles. By aggregating this data, companies can identify gaps in available skills and tailor their recruitment strategies accordingly.
- Predictive Hiring Models: Utilize the job history count as a feature in data-driven recruitment algorithms. By correlating this metric with employee performance and retention rates, organizations can develop predictive models to enhance their hiring practices.
- Competitive Benchmarking: Firms can use the resume job history count to benchmark their talent pool against competitors. Understanding the job history distribution can inform a company’s position in the industry regarding attracting experienced professionals.
- Diversity and Inclusion Initiatives: This function can support diversity hiring initiatives by allowing organizations to track the job history of underrepresented groups. Companies can analyze this data to ensure equitable hiring practices and address potential biases in their recruitment processes.
- Automated Candidate Shortlisting: Integrate this function into an Applicant Tracking System (ATS) to automate the shortlisting process. It allows for rapid identification of candidates who meet specific job history criteria, enabling recruiters to focus their efforts on the most promising applications.