Job Descriptions
Buy and sell job descriptions data. Real JDs with titles, requirements, and comp ranges. HR AI tools need massive JD datasets to generate and optimize listings.
No listings currently in the marketplace for Job Descriptions.
Find Me This Data →Overview
What Is Job Descriptions Data?
Job descriptions data consists of structured and unstructured information about job vacancies publicly advertised by employers. This includes job titles, detailed descriptions of responsibilities, required qualifications, desired skills, salary ranges, employment types, experience levels, educational requirements, and company details. The data provides insights into hiring trends, workforce demand, and skill requirements across industries and geographies. HR AI tools, recruiters, talent acquisition teams, and market researchers rely on large JD datasets to train models, generate optimized job listings, benchmark compensation, and understand labor market dynamics.
Market Data
400,000+
Jobs in Global Coverage
Source: Mercer MarketPricer
140+
Countries Represented
Source: Mercer MarketPricer
15+
Core Attributes Tracked
Source: Datarade
Who Uses This Data
What AI models do with it.do with it.
Talent Acquisition & Recruitment
Recruiters and HR professionals analyze job postings data to understand competitor hiring, identify skill gaps, benchmark compensation, and optimize job descriptions for candidate attraction.
HR AI & Job Description Generation
AI platforms need massive JD datasets to train models that generate, optimize, and standardize job listings across organizations and industries.
Market Research & Workforce Planning
Economists, analysts, and strategic planners use job postings data to track hiring trends, industry demand, skill requirements, and regional employment patterns.
Salary Benchmarking
Organizations use job description data paired with compensation attributes to benchmark pay ranges, make informed hiring decisions, and remain competitive in the labor market.
What Can You Earn?
What it's worth.worth.
Per-Job Pricing (MarketPricer)
$300 USD per job
Mercer's platform charges per job record accessed, with access to base pay, bonus mix, position class, and total cash data.
Bulk Dataset Sales
Varies
Public datasets on Kaggle and academic repositories are available; commercial pricing for curated, real-time job description datasets varies by provider, coverage, and update frequency.
What Buyers Expect
What makes it valuable.valuable.
Structured Data Fields
Job title, company name, location, job description text, employment type, salary range (min/max), experience level, required education, and skills in standardized formats.
Compensation Transparency
Accurate salary ranges, bonus structures, base/bonus mix, total cash compensation, and normalization to a single currency (e.g., USD) for consistent benchmarking.
Comprehensive Metadata
Company industry, company size, remote work type, travel requirements, language skills, certifications, benefits, job duration, and job source URL for context and filtering.
Freshness & Coverage
Regular updates (monthly or more frequent), global geographic coverage, multi-industry representation, and inclusion of both established and emerging job markets.
Companies Active Here
Who's buying.buying.
Train machine learning models to generate, optimize, and standardize job descriptions at scale for enterprise HR teams.
Analyze job postings data to benchmark competitor job descriptions, identify skill demand trends, and enhance candidate matching algorithms.
Provide salary benchmarking, pay equity analysis, and workforce planning insights using large job description datasets with embedded compensation data.
FAQ
Common questions.questions.
What key fields are included in job description datasets?
Common fields include job title, company name, job description text, location, employment type, salary range (minimum and maximum), required experience level, education requirements, desired skills, industry, company size, remote work type, benefits, certifications required, and job source URL.
How do HR AI tools use job description data?
HR AI platforms use large JD datasets to train machine learning models that generate optimized job listings, standardize descriptions across organizations, extract key requirements, match candidates to roles, and benchmark compensation and skill demands.
What makes job description data valuable for market research?
Job postings data reveals real-time hiring trends, skill demand across industries and regions, compensation benchmarks, employment type preferences, and labor market dynamics—helping economists, researchers, and planners track workforce changes.
Are salary ranges always included in job description datasets?
Not all job postings include explicit salary ranges. Datasets vary in coverage; some sources like Mercer's MarketPricer specialize in compensation data, while public datasets on Kaggle may have partial or missing salary information depending on the source platform and posting date.
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If your company generates job descriptions, AI companies are actively looking for it. We handle pricing, compliance, and buyer matching.
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