100+ datasets found
  1. AI and ML Job Listings USA

    • kaggle.com
    Updated Jun 2, 2024
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    Kanchana1990 (2024). AI and ML Job Listings USA [Dataset]. http://doi.org/10.34740/kaggle/dsv/8588840
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 2, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Kanchana1990
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Dataset Overview

    The "AI and ML Job Listings USA" dataset provides a comprehensive collection of job postings in the field of Artificial Intelligence (AI) and Machine Learning (ML) across the United States. The dataset includes job listings from 2022 to 2024, capturing the evolving landscape of AI/ML job opportunities. This dataset is valuable for researchers, job seekers, and data scientists interested in understanding trends, demands, and opportunities in the AI/ML job market.

    Data Science Applications

    This dataset can be utilized for various data science applications, including: - Trend Analysis: Identifying trends in job titles, locations, and required skills over time. - Demand Forecasting: Predicting future demand for AI/ML roles based on historical data. - Skills Gap Analysis: Analyzing the skills and experience levels in demand versus the available workforce. - Geospatial Analysis: Mapping job opportunities across different regions in the USA. - Salary Prediction: Developing models to predict salaries based on job descriptions and other attributes. Some job descriptions include salary information, which can be identified by exploring the 'description' column for mentions of compensation, pay, or salary-related terms.

    Column Descriptors

    1. title: The job title (e.g., AI/ML Engineer).
    2. location: The location of the job (e.g., New York, NY).
    3. publishedAt: The date the job was published (e.g., 2024-05-29).
    4. companyName: The name of the company offering the job (e.g., Wesper).
    5. description: A detailed description of the job (e.g., responsibilities, qualifications, and sometimes salary information).
    6. applicationsCount: The number of applications received (e.g., Over 200 applicants).
    7. contractType: The type of contract (e.g., Full-time).
    8. experienceLevel: The level of experience required (e.g., Mid-Senior level).
    9. workType: The type of work (e.g., Engineering and Information Technology).
    10. sector: The industry sector of the job (e.g., Internet Publishing).

    Ethically Mined Data

    This dataset has been ethically mined using an API, ensuring no private information has been revealed. Sensitive data, such as the recruiter name, has been removed to protect privacy and comply with ethical standards.

    Acknowledgments

    • LinkedIn: For providing the platform where these job listings were originally posted.
    • DALL·E 3: For generating the thumbnail image used for this dataset.

    This dataset provides a rich resource for analyzing and understanding the AI and ML job market in the USA, offering insights into job trends, requirements, and opportunities in this rapidly growing field.

  2. Total employment figures and unemployment rate in the United States...

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2024
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    Statista (2024). Total employment figures and unemployment rate in the United States 1980-2025 [Dataset]. https://www.statista.com/statistics/269959/employment-in-the-united-states/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, it was estimated that over 161 million Americans were in some form of employment, while 3.64 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

  3. T

    United States Employment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Employment Rate [Dataset]. https://tradingeconomics.com/united-states/employment-rate
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    excel, xml, json, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1948 - May 31, 2025
    Area covered
    United States
    Description

    Employment Rate in the United States decreased to 59.70 percent in May from 60 percent in April of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. c

    CareerBuilder US Jobs Dataset – August 2021: A Comprehensive Overview of the...

    • crawlfeeds.com
    json, csv, zip
    Updated May 22, 2025
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    Crawl Feeds (2025). CareerBuilder US Jobs Dataset – August 2021: A Comprehensive Overview of the American Job Market [Dataset]. https://crawlfeeds.com/datasets/career-builder-us-jobs-dataset-aug-2021
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    zip, json, csvAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Area covered
    United States
    Description

    Explore the "CareerBuilder US Jobs Dataset – August 2021," a valuable resource for understanding the dynamics of the American job market.

    This dataset features detailed job listings from CareerBuilder, one of the largest employment websites in the United States, and provides a comprehensive snapshot of job postings as of August 2021.

    Key Features:

    • Extensive Job Listings: Includes thousands of job postings across various industries and sectors, providing a broad view of employment opportunities in the US.
    • Detailed Information: Each listing contains essential details such as job titles, company names, locations, job descriptions, employment types (full-time, part-time, contract), required qualifications, and salary ranges.
    • Insights into Trends: Analyze trends in employment, including the most in-demand skills, top hiring companies, popular job roles, and geographic distribution of job opportunities.
    • Ideal for Research: This dataset is perfect for researchers, HR professionals, and data analysts interested in understanding the current state of the job market, developing recruitment strategies, or studying labor market dynamics.

    By leveraging this dataset, you can gain valuable insights into the US job market as of August 2021, helping you stay ahead of industry trends and make informed decisions. Whether you're a job seeker, employer, or researcher, the CareerBuilder US Jobs Dataset offers a wealth of information to explore.

  5. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 2, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1948 - May 31, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States remained unchanged at 4.20 percent in May. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  6. U.S. monthly job openings 2022-2024

    • statista.com
    Updated Nov 12, 2024
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    Statista (2024). U.S. monthly job openings 2022-2024 [Dataset]. https://www.statista.com/statistics/217943/monthly-job-openings-in-the-united-states/
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2022 - Sep 2024
    Area covered
    United States
    Description

    By the last business day of September 2024, there were about 7.44 million job openings in the United States. This is a decrease from the previous month, when there were 7.86 million job openings. The data are seasonally adjusted. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends.

  7. T

    United States Job Openings

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 3, 2025
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    TRADING ECONOMICS (2025). United States Job Openings [Dataset]. https://tradingeconomics.com/united-states/job-offers
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2000 - Apr 30, 2025
    Area covered
    United States
    Description

    Job Offers in the United States increased to 7391 Thousand in April from 7200 Thousand in March of 2025. This dataset provides the latest reported value for - United States Job Openings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. Online Recruitment Sites in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Sep 15, 2024
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    IBISWorld (2024). Online Recruitment Sites in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/online-recruitment-sites-industry/
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    Dataset updated
    Sep 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United States
    Description

    The Online Recruitment Sites industry has boomed since the 2000s as job searches have moved online and the internet has become an indispensable part of daily life. The internet has become the primary medium for communicating and accessing information, the main driving force behind this industry's rise. Job seekers and employers have increasingly turned to online recruitment sites to look for new openings and find new talent pools. Revenue generated from online recruitment sites is expected to grow at a CAGR of 8.3% to $15.7 billion over the five years to 2023. While growth has been fueled by an extremely tight labor market following pandemic disruptions, revenue is forecast to contract 4.6% in 2023. Low costs associated with starting an online company have encouraged new companies to begin operations online. The largest online recruitment sites have increased market share through organic growth and via the acquisition of smaller players, which have targeted niche industries. Incumbents hold a competitive advantage in developing brand names, which has made it difficult for new sites to gain market share. Nonetheless, low barriers to entry and strength in demand for professional and technical recruiting have enabled some niche job boards to succeed within their respective markets. The growing advantages associated with using online recruitment sites and the scalability of online platforms enable sizable profit margins. Online hiring played an integral role across the economy during the COVID-19 pandemic, as employers have also to interact with customers and employees in new ways. Driven by the rapid development and adoption of big data analytics and mobile computing, online recruitments sites are expected to provide a broader range of services that go beyond standard job posting services and resume collection. These services will enable online recruiters to compete more effectively with traditional recruiting companies and in-house hiring departments. Meanwhile, a steady labor market will likely create new job openings even as interest rates rise, particularly in small- and medium-sized businesses. Revenue across online recruitment sites is forecast to grow at a CAGR of 4.4% to $19.5 billion over the five years to 2028.

  9. U.S. employment 2024, by industry

    • statista.com
    • ai-chatbox.pro
    Updated Apr 7, 2025
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    Statista (2025). U.S. employment 2024, by industry [Dataset]. https://www.statista.com/statistics/200143/employment-in-selected-us-industries/
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    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, the education and health services industry employed the largest number of people in the United States. That year, about 37 million people were employed in the education and health services industry. Education and Health Services Industry Despite being one of the wealthiest nations in the world, the United States has started to fall behind in both education and the health care industry. Although the U.S. spends the most money in both these industries, they do not see their desired results in comparison to other nations. Furthermore, in the education services industry, there was a relatively significant wage gap between men and women. In 2019, men earned about 1,070 U.S. dollars per week on average, while their female counterparts only earned 773 U.S. dollars per week. Employment in the U.S. The 2008 financial crisis was a large-scale event that impacted the entire world, especially the United States. The economy started to improve after 2010, and the number of people employed in the United States has been steadily increasing since then. However, the number of people employed in the education sector is expected to slowly decrease until 2026. The overall unemployment rate in the United States has decreased since 2010 as well.

  10. F

    Job Openings: Total Nonfarm

    • fred.stlouisfed.org
    json
    Updated Jun 3, 2025
    + more versions
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    (2025). Job Openings: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSJOL
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    jsonAvailable download formats
    Dataset updated
    Jun 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Job Openings: Total Nonfarm (JTSJOL) from Dec 2000 to Apr 2025 about job openings, vacancy, nonfarm, and USA.

  11. T

    United States Labor Force Participation Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 6, 2025
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    TRADING ECONOMICS (2025). United States Labor Force Participation Rate [Dataset]. https://tradingeconomics.com/united-states/labor-force-participation-rate
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1948 - May 31, 2025
    Area covered
    United States
    Description

    Labor Force Participation Rate in the United States decreased to 62.40 percent in May from 62.60 percent in April of 2025. This dataset provides the latest reported value for - United States Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. Job Openings and Posting Data in Latin America/Latam( Techsalerator)

    • datarade.ai
    Updated Sep 5, 2024
    + more versions
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    Techsalerator (2024). Job Openings and Posting Data in Latin America/Latam( Techsalerator) [Dataset]. https://datarade.ai/data-products/job-openings-and-posting-data-in-latin-america-latam-techsal-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Sep 5, 2024
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Latin America, Americas, French Guiana, Guadeloupe, Trinidad and Tobago, Bonaire, Virgin Islands (British), Montserrat, Haiti, Suriname, Saint Vincent and the Grenadines, Venezuela (Bolivarian Republic of)
    Description

    Techsalerator’s Job Openings Data in Latin America provides a thorough and insightful dataset designed to deliver businesses, recruiters, labor market analysts, and job seekers with a comprehensive view of employment opportunities across the Latin American region. This dataset aggregates job postings from a diverse array of sources on a daily basis, ensuring that users have access to the most current and extensive collection of job openings available throughout Latin America.

    Key Features of the Dataset: Extensive Coverage:

    The dataset aggregates job postings from a variety of sources, including company career sites, job boards, recruitment agencies, and professional networking platforms. This comprehensive coverage ensures that users receive a broad spectrum of job opportunities from multiple channels. Daily Updates:

    Data is updated daily, providing real-time insights into job market conditions. This frequent updating ensures that the dataset reflects the latest job openings and market trends. Sector-Specific Data:

    Job postings are categorized by industry sectors such as technology, healthcare, finance, education, manufacturing, and more. This segmentation allows users to analyze trends and opportunities within specific industries. Regional Breakdown:

    Detailed information is provided on job openings across different countries and key regions within Latin America. This regional breakdown helps users understand job market dynamics and opportunities in various geographic areas. Role and Skill Analysis:

    The dataset includes information on job roles, required skills, qualifications, and experience levels. This feature assists job seekers in identifying opportunities that match their expertise and helps recruiters find candidates with the desired skill sets. Company Insights:

    Users can access information about the companies posting job openings, including company names, industries, and locations. This data provides insights into which companies are hiring and where demand for talent is highest. Historical Data:

    The dataset may include historical job posting data, enabling users to perform trend analysis and comparative studies over time. This feature supports understanding changes and developments in the job market. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking, but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Recruitment: Recruiters and HR professionals can use the data to identify hiring trends, understand competitive practices, and optimize their recruitment strategies based on real-time market insights. Labor Market Analysis: Analysts and policymakers can leverage the dataset to study employment trends, identify skill gaps, and evaluate job market opportunities across different regions and sectors. Job Seeker Support: Job seekers can access a comprehensive and updated list of job openings tailored to their skills and preferred locations, enhancing the efficiency and effectiveness of their job search. Workforce Planning: Companies can gain valuable insights into the availability of talent across Latin America, assisting with decisions related to market entry, expansion, and talent acquisition. Techsalerator’s Job Openings Data in Latin America is an essential tool for understanding the diverse and evolving job markets across the region. By providing up-to-date and detailed information on job postings, it supports effective decision-making for businesses, job seekers, and labor market analysts.

  13. T

    United States Change In Labor Market Conditions Index

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Change In Labor Market Conditions Index [Dataset]. https://tradingeconomics.com/united-states/labor-market-conditions-index
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 31, 1976 - Jun 30, 2017
    Area covered
    United States
    Description

    Labor Market Conditions Index in the United States decreased to 1.50 Index Points in June from 3.30 Index Points in May of 2017. This dataset provides the latest reported value for - United States Labor Market Conditions Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. U.S. employment rate 2000-2024, by age

    • statista.com
    Updated Apr 7, 2025
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    Statista (2025). U.S. employment rate 2000-2024, by age [Dataset]. https://www.statista.com/statistics/217899/us-employment-rate-by-age/
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    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the employment rate of the workforce of 55 years and older decreased to 37.3 percent. Employment rate among young adults (age 16-24) was at 50.9 percent in 2024. For monthly updates on employment in the United States visit the annual national employment rate here.

  15. United States US: Employment Rate: Age 15-74

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States US: Employment Rate: Age 15-74 [Dataset]. https://www.ceicdata.com/en/united-states/employment-and-unemployment-forecast-oecd-member-annual/us-employment-rate-age-1574
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2015 - Dec 1, 2026
    Area covered
    United States
    Variables measured
    Unemployment
    Description

    United States US: Employment Rate: Age 15-74 data was reported at 67.118 % in 2026. This records an increase from the previous number of 66.828 % for 2025. United States US: Employment Rate: Age 15-74 data is updated yearly, averaging 65.646 % from Dec 1985 (Median) to 2026, with 42 observations. The data reached an all-time high of 69.750 % in 2000 and a record low of 61.414 % in 2010. United States US: Employment Rate: Age 15-74 data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.EO: Employment and Unemployment: Forecast: OECD Member: Annual.

  16. U.S. labor force 1990-2024

    • statista.com
    Updated May 8, 2025
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    Statista (2025). U.S. labor force 1990-2024 [Dataset]. https://www.statista.com/statistics/191750/civilian-labor-force-in-the-us-since-1990/
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    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This graph shows the civilian labor force in the United States from 1990 to 2024. In 2024, the number of people who had jobs or were seeking employment amounted to about 168.11 million.

  17. o

    Replication data for: The Growth of Low-Skill Service Jobs and the...

    • openicpsr.org
    Updated Aug 1, 2013
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    David H. Autor; David Dorn (2013). Replication data for: The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market [Dataset]. http://doi.org/10.3886/E112652V1
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    Dataset updated
    Aug 1, 2013
    Dataset provided by
    American Economic Association
    Authors
    David H. Autor; David Dorn
    Description

    We offer a unified analysis of the growth of low-skill service occupations between 1980 and 2005 and the concurrent polarization of US employment and wages. We hypothesize that polarization stems from the interaction between consumer preferences, which favor variety over specialization, and the falling cost of automating routine, codifiable job tasks. Applying a spatial equilibrium model, we corroborate four implications of this hypothesis. Local labor markets that specialized in routine tasks differentially adopted information technology, reallocated low-skill labor into service occupations (employment polarization), experienced earnings growth at the tails of the distribution (wage polarization), and received inflows of skilled labor.

  18. F

    Infra-Annual Registered Unemployment and Job Vacancies: Total Economy:...

    • fred.stlouisfed.org
    json
    Updated Apr 10, 2024
    + more versions
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    (2024). Infra-Annual Registered Unemployment and Job Vacancies: Total Economy: Unfilled Vacancies for United States [Dataset]. https://fred.stlouisfed.org/series/LMJVTTUVUSM647S
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    jsonAvailable download formats
    Dataset updated
    Apr 10, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Infra-Annual Registered Unemployment and Job Vacancies: Total Economy: Unfilled Vacancies for United States (LMJVTTUVUSM647S) from Dec 2000 to Jan 2024 about job openings, jobs, vacancy, and USA.

  19. d

    Canaria | U.S. Job Postings Data | 700M+ Historical Job Postings from...

    • datarade.ai
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    Canaria Inc., Canaria | U.S. Job Postings Data | 700M+ Historical Job Postings from LinkedIn, Indeed, ATS & More | AI-Powered, 3-Year Historical Job Postings Data [Dataset]. https://datarade.ai/data-products/canaria-s-ai-driven-job-posting-analytics-500m-records-25-canaria-inc
    Explore at:
    .json, .csv, .bin, .xml, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Canaria Inc.
    Area covered
    United States of America
    Description

    Detailed Data Dictionary: https://docs.google.com/spreadsheets/d/1JKUYZYPNZfcg5Ol9LTk8fwe5hwiu7c5DSn-3Wia7mo8/edit?gid=1071313126gid=1071313126

    Developed by a seasoned team of ML experts from Google, Meta, and Amazon and alumni of Stanford, Caltech, and Columbia, our AI-powered pipeline provides invaluable insights for HR tech, lead generation, market intelligence, and corporate development. With cutting-edge AI and LLMs, we transform raw job postings into actionable data, analyzing job titles, skills, predicted salaries, locations, and more.

    Each posting undergoes multi-layered processing, with GPU-driven models delivering daily, weekly, and monthly data for a balanced real-time and historical view. Our processing pipeline integrates advanced AI models:

    • Deduplication Model: Filters out exact and near-duplicates, ensuring unique, high-quality job data.
    • Title Taxonomy Model: Categorizes over 20 million titles into 50,000 standardized groups, simplifying analysis.
    • Skill & Qualification Models: Extracts hard skills, soft skills, certifications, and degrees, mapped to standard education levels and tailored by job context.
    • Job Category Model: Predicts work types (remote, onsite, hybrid), seniority, and employment types (full-time, contract).
    • Location Prediction Model: Parses or estimates job locations—ZIP code, city, state—using averaged lat/long values from search-based estimates for accuracy.
    • Salary Estimation Model: Predicts minimum, average, and maximum salaries, using parsed and AI-predicted values for a robust salary range.
    • Government Classification Models: Assigns SOC codes and titles to postings for structured role insights and regulatory compliance.
    • Human Feedback Model: An in-house team of annotators reviews job descriptions and AI outputs, refining model accuracy.

    Delivered through S3, FTP, and Google Drive, Canaria’s dataset provides flexibility in integration, with APIs available on request. Combining real-time AI with human validation, Canaria’s data delivers business-ready insights to meet evolving HR and market demands.

    Core Industry Applications - HR & Workforce Analytics: Access insights into salary trends, workforce demographics, and skill demands to drive strategic HR decisions. - Lead Generation: Identify target leads and hiring needs through granular job postings data. - Investment & Market Intelligence: Gain insights into competitor hiring strategies and industry shifts. - Education & Skill Development: Support curriculum development and training programs based on skill trends and emerging job requirements. - Corporate Development: Align growth strategies with real-time job market data. - Talent Sourcing: Streamline talent sourcing by identifying active job markets and regions with the highest demand for specific skills. - Job Market Forecasting: Analyze hiring trends and job postings data to forecast demand for specific roles and skills. - Economic Research: Provide labor market insights for economic studies, helping to assess job growth and employment shifts by industry.

  20. F

    Marketing Job Postings on Indeed in the United States

    • fred.stlouisfed.org
    json
    Updated Jun 17, 2025
    + more versions
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    (2025). Marketing Job Postings on Indeed in the United States [Dataset]. https://fred.stlouisfed.org/series/IHLIDXUSTPMARK
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    United States
    Description

    Graph and download economic data for Marketing Job Postings on Indeed in the United States (IHLIDXUSTPMARK) from 2020-02-01 to 2025-06-13 about marketable, jobs, and USA.

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Kanchana1990 (2024). AI and ML Job Listings USA [Dataset]. http://doi.org/10.34740/kaggle/dsv/8588840
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AI and ML Job Listings USA

Compiled Job Postings from 2022 to 2024

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 2, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Kanchana1990
License

Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically

Area covered
United States
Description

Dataset Overview

The "AI and ML Job Listings USA" dataset provides a comprehensive collection of job postings in the field of Artificial Intelligence (AI) and Machine Learning (ML) across the United States. The dataset includes job listings from 2022 to 2024, capturing the evolving landscape of AI/ML job opportunities. This dataset is valuable for researchers, job seekers, and data scientists interested in understanding trends, demands, and opportunities in the AI/ML job market.

Data Science Applications

This dataset can be utilized for various data science applications, including: - Trend Analysis: Identifying trends in job titles, locations, and required skills over time. - Demand Forecasting: Predicting future demand for AI/ML roles based on historical data. - Skills Gap Analysis: Analyzing the skills and experience levels in demand versus the available workforce. - Geospatial Analysis: Mapping job opportunities across different regions in the USA. - Salary Prediction: Developing models to predict salaries based on job descriptions and other attributes. Some job descriptions include salary information, which can be identified by exploring the 'description' column for mentions of compensation, pay, or salary-related terms.

Column Descriptors

  1. title: The job title (e.g., AI/ML Engineer).
  2. location: The location of the job (e.g., New York, NY).
  3. publishedAt: The date the job was published (e.g., 2024-05-29).
  4. companyName: The name of the company offering the job (e.g., Wesper).
  5. description: A detailed description of the job (e.g., responsibilities, qualifications, and sometimes salary information).
  6. applicationsCount: The number of applications received (e.g., Over 200 applicants).
  7. contractType: The type of contract (e.g., Full-time).
  8. experienceLevel: The level of experience required (e.g., Mid-Senior level).
  9. workType: The type of work (e.g., Engineering and Information Technology).
  10. sector: The industry sector of the job (e.g., Internet Publishing).

Ethically Mined Data

This dataset has been ethically mined using an API, ensuring no private information has been revealed. Sensitive data, such as the recruiter name, has been removed to protect privacy and comply with ethical standards.

Acknowledgments

  • LinkedIn: For providing the platform where these job listings were originally posted.
  • DALL·E 3: For generating the thumbnail image used for this dataset.

This dataset provides a rich resource for analyzing and understanding the AI and ML job market in the USA, offering insights into job trends, requirements, and opportunities in this rapidly growing field.

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