Overview: Job Title API

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Overview

INOP Job Titles API is a powerful and structured job classification system designed to bring consistency and intelligence to job title data. This API provides access to INOP’s comprehensive library of job titles, complete with normalization capabilities, curated job title groupings, and skill mappings for each title.

Organizations often deal with inconsistent, ambiguous, or unstructured job titles in hiring processes, job postings, and workforce analytics. Job Titles API addresses this challenge by offering a standardized framework to:

• Normalize raw job titles – Convert unstructured job titles into standardized INOP-defined titles.
• Group related job titles – Access curated job title clusters for better role categorization.
• Map job titles to required skills – Gain insights into core and associated skills for each title.

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Access the INOP Job Titles Library

• Retrieve a comprehensive list of standardized job titles used across industries.
• Use predefined taxonomies for consistent classification.

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Normalize Raw Job Titles

• Transform raw, unstructured, or company-specific job titles into INOP-defined job titles.
• Improve data quality in HR systems, ATS platforms, and workforce analytics.

Raw Title → Standardized Title

• “Sr. Software Eng.” → Senior Software Engineer
• “Frontend Dev” → Frontend Developer
• “AI Specialist” → Machine Learning Engineer

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Retrieve Curated Job Title Groupings

• Identify hierarchical and related job families (e.g., Engineering, Data Science, Product).
• Enable better career pathing and internal mobility insights.

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Example

• Software Engineer falls under the Software Development job family.
• Machine Learning Engineer is categorized under AI & Data Science.

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Fetch Skill Mappings for Job Titles

• Discover essential technical & soft skills required for each job title.
• Get role-specific skill expectations to aid in hiring, training, and skills gap analysis.

Example:

For Software Engineer, the API might return:

{
  "job_title": "Software Engineer",
  "skills": {
    "primary": ["Python", "Java", "System Design"],
    "secondary": ["Cloud Computing", "DevOps"],
    "soft_skills": ["Problem-Solving", "Collaboration"]
  }
}