Skill Taxonomy Data US | AI-Powered Title & Skill Taxonomy Data Matchable with Job Postings for Talent Intelligence, HR Analytics & Workforce Planning

Skill Taxonomy Data US | AI-Powered Title & Skill Taxonomy Matched with Job Postings for Talent Intelligence & Workforce Planning Our Skill Taxonomy Data product offers a comprehensive, AI-driven hierarchical mapping of job titles and associated skills, certifications, and qualifications — precisely trained 600M+ job postings across the US labor market. This data empowers HR professionals, talent managers, and workforce planners with unparalleled insights for strategic decision-making. Harnessing state-of-the-art AI and large language models (LLMs) validated by human experts, our skill taxonomy data surpasses traditional keyword matching by leveraging advanced entity recognition, contextual filtering, and skill relevance ranking. This ensures highly accurate, actionable intelligence for talent acquisition, HR analytics, and workforce development. What the Skill Taxonomy Data Solves Our data transforms unstructured job market information into a dynamic, normalized taxonomy of skills and titles — addressing key questions such as: • What specific hard and soft skills are demanded across job titles and industries? • How do certifications and qualifications align with workforce requirements? • Which skills are emerging or declining in demand for targeted workforce planning? • How can organizations benchmark and close skill gaps effectively? • What hierarchical skill relationships support career development and succession planning? Key Features & Capabilities Normalized Titles & Skills • ~70,000 unique normalized job titles (e.g., Human Resources Generalist) • Up to 20 hard skills per title (~37,000 unique skills, e.g., Python) • Up to 10 soft skills per title (~400 unique, e.g., Communication) • ~3,000 unique certifications (e.g., PMP) and ~8 standardized qualification levels (e.g., Bachelor’s) • Weighted relevance scores based on frequency, uniqueness, and contextual significance Advanced AI & NLP Enrichment • Contextual entity recognition using NER, embeddings, MinHash, and AI-based filtering • Disambiguation of skill variants (e.g., ML → Machine Learning) • Exclusion of irrelevant entities based on job role context Hierarchical Skill Mapping & Descriptions • Structured taxonomy from broad categories to granular capabilities • Clear skill definitions for use in HR, L&D, and employee development Demand & Supply Analytics • Real-time and historical tracking of skill demand from 600M+ job postings • Visibility into skill clusters, their market value, and projected workforce needs Interactive Search & Insights • Searchable skill-to-title mapping for recruitment and internal mobility • Support for targeted training programs and career pathing initiatives Continuous Updates & Market Responsiveness • Monthly data refreshes reflecting changes in the labor market and evolving tech landscape Comprehensive Workforce Management Support • Actionable insights to optimize hiring, reskill existing employees, and plan succession effectively Scalable & Customizable Solutions • Adaptable across industries and organization sizes • Customizable to support bespoke strategic HR and analytics initiatives Use Cases & Benefits • Human Resources (HR): Streamline recruitment by identifying critical role-specific skills and certifications • Talent Management: Design L&D programs aligned with in-demand and emerging skills • HR Consulting: Deliver evidence-based talent diagnostics and strategic workforce solutions • Human Resources Planning: Forecast and prepare for evolving organizational skill needs • HR Analytics: Detect and analyze skill trends for better workforce and talent decisions What Makes This Skill Taxonomy Data Unique • AI-Validated Skill Recognition: Goes beyond keyword matching using contextual LLMs and AI models • Data Depth & Breadth: Covers over 600M US job postings across industries, refreshed monthly • Weighted Skill Importance: Context-aware scoring system suppresses generic skills and highlights role-specific needs • Rich Metadata: Includes weights, skill definitions, certifications, and qualifications — integrated into a structured hierarchy • Seamless Integration: Easily embedded into HRIS, ATS, L&D, and workforce analytics tools Who Uses Our Skill Taxonomy Data • HR & Talent Acquisition Teams – For sourcing, screening, and candidate-job matching • Learning & Development Managers – For designing targeted training and upskilling programs • Workforce Planning & Analytics Teams – To anticipate future hiring and skill needs • HR Consultants & Analysts – For delivering actionable talent strategy and diagnostics • Business Leaders & Strategy Teams – To inform competitive workforce and organizational strategies About Canaria Inc. Canaria Inc. is a leader in alternative data, specializing in job market intelligence, LinkedIn company data, and Glassdoor salary analytics. We deliver clean, structured, and enriched datasets at scale using proprietary data scraping pipelines and advanced AI/LLM-based modeling, all backed by human validation. Our AI-powered pipeline is developed by a seasoned team of machine learning experts from Google, Meta, and Amazon, and by alumni of Stanford, Caltech, and Columbia — combining cutting-edge research with enterprise-grade engineering. This foundation enables us to deliver precise, reliable insights that power corporate intelligence, market research, and lead generation at scale. With insights drawn from over 700M job postings, 3M+ company profiles, and a growing archive of Glassdoor salary data, we help organizations solve critical challenges in company analysis, valuation, portfolio management, and business intelligence. Why Clients Choose Canaria • Enterprise-Grade Scraping Infrastructure Our scraping engine performs rigorous real-time checks to ensure deduplicated, accurate, and up-to-date company and job posting data. We double-verify results across platforms like LinkedIn, Indeed, and Google Maps. • Annotation-Validated AI Results All AI model outputs are quality-checked by our internal annotation team, ensuring actionable precision across every data attribute. Core AI Models Powering Our Data • Deduplication Model – Removes exact and near-duplicate job postings across different URLs with a ~60% deduplication rate using semantic matching • Title Taxonomy Model – Maps 20M+ raw job titles into 50,000 standardized titles, enabling structured analysis across platforms and sectors • Salary Estimation Model – Predicts salary ranges using company history, industry, location, seniority, and public data (including Glassdoor) • Skill Taxonomy Model – Extracts hard skills, soft skills, certifications, and qualifications — while filtering irrelevant keywords using contextual AI • Job Category Models – Classify roles by seniority level and modality (remote, onsite, hybrid) using LLM-based content analysis • Government Classification Models – Assign SOC codes and industry tags based on job and company-level indicators Expertise Across Key Domains We specialize in: • Job & skill taxonomy standardization • Salary benchmarking & estimation • Company profiling & firmographic intelligence • Hiring signal tracking & job posting intent data • Data enrichment for CRM, BI, and investment platforms Built for Real-Time Decision-Making Canaria Inc. continues to evolve through dedicated R&D, delivering the most reliable, high-resolution company and workforce datasets — empowering clients across finance, recruiting, HR tech, consulting, and enterprise analytics to make confident, data-driven decisions.