Data Uniqueness Human-Verified AI & LLM Models: AI and LLM models are meticulously verified by human experts, ensuring high accuracy in classifying industry, job titles, skills, salaries, and locations. Industry Model: Understands job industry from descriptions and classifies them by NAICS, SOC, and SIC codes. Title Taxonomy Model: Identifies accurate job titles using job descriptions, addressing inaccuracies in free job postings. Skill Taxonomy Model: Determines job skills, both soft and hard, using job descriptions, normalized job titles, and recent industry needs. Salary Estimations: Calculates salary ranges based on previous company salary information, industry range, location, and seniority, even when job postings don't include this information. Zip Code Accuracy: Pinpoints correct zip code, state, city, latitude, and longitude for each job posting. Data Enhancement: The model annotation squad ensures data is meticulously refined for precision and usability. Comprehensive Coverage: The dataset includes over 25M monthly job postings in the US, along with 2 years of historical data, providing a broad and detailed view of the job market, with a particular focus on salary data. Daily Updates: Daily updates ensure salary data is always fresh and relevant, capturing the latest trends and changes in the job market. High-Quality Data Attributes: Data encompasses a wide range of attributes, including job titles, skills, salary information, zip codes, and industry classifications, all refined for precision and usability. Skill & Title Taxonomy: Over 38,000 unique skills and 530,000 unique job titles refined to 53,000+ normalized unique job titles. Improved Zip Code Knowledge: Enhanced accuracy for geographic data. Benefits, Certifications, and Qualifications: Comprehensive details included. Industry-Based Search: SOC, NAICS, and SIC industry-based search with 867 unique SOC codes. Remote, Hybrid, or Onsite Knowledge: Detailed job location information. Deduplicated Job Postings: Ensures the highest quality by removing duplicates. Versatile Applications: Ideal for HR Tech, Lead Generation, and Investors, offering actionable insights and supporting strategic decision-making across various sectors. Data Sourcing Multiple Data Sources: Data is aggregated from top US job boards, including Indeed (approximately 80%), LinkedIn, other leading job posting websites, and company career pages. Advanced Web Scraping: Advanced web scraping techniques are utilized to collect job postings hourly. However, enhancing the data with AI-LLM models takes time, so salary data is delivered daily to ensure high-quality results. Human-Labeled Annotations: AI & LLM models are trained and verified with human-labeled annotations to ensure the highest accuracy in data classification and attribute extraction. Data Deduplication: Rigorous data deduplication processes are implemented to eliminate redundant job postings, ensuring the uniqueness and quality of the data. Continuous Data Validation: Data undergoes continuous validation processes, including cross-referencing with multiple sources, to maintain accuracy and reliability. Quality Assurance: A dedicated team is responsible for ongoing quality assurance, ensuring the data remains comprehensive, accurate, and actionable for clients. Primary Use-Cases and Verticals of the Data Product: HR Tech: HR Analytics: Gain insights into industry demands, salary benchmarks, and job market trends to support strategic HR decisions. HR Strategy: Develop and implement effective HR strategies based on comprehensive salary data. HR Intelligence: Analyze job market salary data to optimize HR practices and improve talent acquisition. Lead Generation: Lead Generation: Utilize salary data to identify potential leads and understand the hiring needs of prospective clients. Account-Based Marketing (ABM): Tailor marketing efforts to specific accounts based on salary data trends. Lead Data Enrichment: Enhance lead data with detailed job market salary information. Business Intelligence (BI): Employment Analytics: Analyze job market trends and employment data to support business decisions. Competitive Intelligence: Compare salary data trends across different companies and industries to gain competitive insights. Competitor Insights: Understand competitors' hiring activities and strategies. Market Research: Market Research: Conduct research on labor market dynamics, employment trends, and skill demand. Job Market Pricing: Analyze salary data to establish market pricing for various roles. Job Pricing: Determine competitive salary ranges for job postings based on comprehensive data analysis. Machine Learning (ML) & Natural Language Processing (NLP): Machine Learning (ML): Develop ML models to predict job market salary trends and enhance job matching algorithms. Natural Language Processing (NLP): Utilize NLP techniques to extract and analyze salary data for improved insights. Corporate Development: Corporate Development: Inform strategic initiatives and business growth plans with detailed salary data. Hiring: Optimize hiring strategies and identify talent acquisition opportunities. Job Boards Listings: Indeed Data: Leverage data from Indeed to gain insights into job market trends and hiring practices. Job Posting Data: Utilize job postings data to understand industry-specific hiring trends. Integration with Broader Offering Complementary Data Integration: Salary Data and Title & Skill Taxonomy Data seamlessly integrate with each other and other data products offered by Canaria Inc. This integration provides a comprehensive view of the job market, skill trends, and industry movements. Enhanced Data Insights: By combining salary data with title & skill taxonomy data, users gain a multi-dimensional perspective on job market dynamics, workforce trends, and required skills. This holistic approach enables more informed decision-making across various business functions. Scalable Solutions: These data products are part of a scalable suite of solutions catering to businesses of all sizes. Whether for small businesses or large enterprises, clients can leverage these datasets alongside other offerings to support growth and strategic initiatives. Customizable Data Solutions: Canaria Inc. provides tailored data solutions that can be customized to meet specific business needs. Salary data and title & skill taxonomy data can be enriched with additional data layers, such as demographic information or economic indicators, to deliver targeted insights. Innovative Technology: Utilizing advanced AI & LLM models verified by human experts, these data products exemplify Canaria Inc.'s commitment to leveraging cutting-edge technology to deliver high-quality, actionable data. This approach ensures reliability and accuracy across all Canaria Inc. data offerings. Versatile Applications: The integration of salary data with title & skill taxonomy data enhances a wide range of applications, from HR analytics and lead generation to competitive intelligence and market research. This versatility is a hallmark of Canaria Inc.'s broader data offering, designed to provide value across multiple business verticals. Continuous Improvement: As part of a broader commitment to excellence, Canaria Inc. continuously enhances its data products. Both salary data and title & skill taxonomy data benefit from ongoing model improvements, frequent updates, and user feedback, ensuring they remain valuable assets within the overall data portfolio.