The AI/ML industry is rapidly evolving, and companies worldwide are actively hiring Data Scientists, ML Engineers, AI Researchers, and Quant Analysts. This dataset provides 2,000+ synthetic but realistic job listings that capture important details like:

• Company information

• Industry domain

• Job titles & experience levels

• Required skills & tools

• Salary ranges (USD)

• Location & employment type

• Posting dates (2023–2025)

This dataset is designed to help researchers, students, and practitioners analyze trends in the AI job market and build real-world projects such as salary prediction, skill-demand analysis, and workforce analytics.

Discover the "Job.com USA Jobs Dataset," a detailed resource that provides an in-depth look at the job market in the United States.

This dataset is sourced from Job.com, a leading employment platform in the USA, and includes comprehensive information on job listings across various industries and regions.

Key Features:

• Extensive Job Listings: Features a wide range of job postings from different sectors and industries, offering a comprehensive overview of employment opportunities across the United States.
• Detailed Information: Each listing includes important details such as job titles, company names, job descriptions, locations, employment types (full-time, part-time, remote, contract), required qualifications, and salary data.
• Insights into Market Trends: Analyze current trends in the US job market, including in-demand skills, leading employers, popular job roles, and geographic distribution of job opportunities.
• Ideal for Research and Analysis: This dataset is perfect for researchers, HR professionals, and data analysts interested in studying labor market trends, developing recruitment strategies, or understanding the employment dynamics in the USA.

The Job.com USA Jobs Dataset offers valuable insights into the American job market, making it a crucial resource for job seekers, employers, and researchers alike. Use this dataset to stay ahead of market trends, explore employment opportunities, and gain a deeper understanding of job market dynamics in the United States.

Job Dataset

This dataset provides a comprehensive collection of synthetic job postings to facilitate research and analysis in the field of job market trends, natural language processing (NLP), and machine learning. Created for educational and research purposes, this dataset offers a diverse set of job listings across various industries and job types.

Descriptions for each of the columns in the dataset:

1. Job Id: A unique identifier for each job posting.
2. Experience: The required or preferred years of experience for the job.
3. Qualifications: The educational qualifications needed for the job.
4. Salary Range: The range of salaries or compensation offered for the position.
5. Location: The city or area where the job is located.
6. Country: The country where the job is located.
7. Latitude: The latitude coordinate of the job location.
8. Longitude: The longitude coordinate of the job location.
9. Work Type: The type of employment (e.g., full-time, part-time, contract).
10. Company Size: The approximate size or scale of the hiring company.
11. Job Posting Date: The date when the job posting was made public.
12. Preference: Special preferences or requirements for applicants (e.g., Only Male or Only Female, or Both)
13. Contact Person: The name of the contact person or recruiter for the job.
14. Contact: Contact information for job inquiries.
15. Job Title: The job title or position being advertised.
16. Role: The role or category of the job (e.g., software developer, marketing manager).
17. Job Portal: The platform or website where the job was posted.
18. Job Description: A detailed description of the job responsibilities and requirements.
19. Benefits: Information about benefits offered with the job (e.g., health insurance, retirement plans).
20. Skills: The skills or qualifications required for the job.
21. Responsibilities: Specific responsibilities and duties associated with the job.
22. Company Name: The name of the hiring company.
23. Company Profile: A brief overview of the company's background and mission.

Potential Use Cases:

• Building predictive models to forecast job market trends.
• Enhancing job recommendation systems for job seekers.
• Developing NLP models for resume parsing and job matching.
• Analyzing regional job market disparities and opportunities.
• Exploring salary prediction models for various job roles.

Acknowledgements:

We would like to express our gratitude to the Python Faker library for its invaluable contribution to the dataset generation process. Additionally, we appreciate the guidance provided by ChatGPT in fine-tuning the dataset, ensuring its quality, and adhering to ethical standards.

Note:

Please note that the examples provided are fictional and for illustrative purposes. You can tailor the descriptions and examples to match the specifics of your dataset. It is not suitable for real-world applications and should only be used within the scope of research and experimentation. You can also reach me via email at: rrana157@gmail.com

Job Growth Statistics: Statistics on job growth are essential in understanding the state and trajectory of an economy because they offer insight into the shifting dynamics of labor markets. By measuring net job addition or subtraction over a certain timeframe, employment growth statistics allow policymakers, companies, and individuals to make well-informed decisions regarding workforce planning, investment decisions, or career choices. Statistics on job growth provide a key measure of economic development as they show whether an economy is expanding, contracting, or remaining stable. Positive employment growth numbers often signal healthy economies with increased consumer spending and company confidence. Conversely, negative or stagnant job growth indicates a slowdown or recession. Furthermore, statistics on employment growth may also be used to highlight developing markets and professions for policymakers as well as job seekers in finding prospective development areas. As such, employment data provides an essential means of measuring an economy's current state and future direction, as well as helping shape policies and initiatives within it. Editor’s Choice From 2020-2030; job growth in the US is anticipated to be 5.3%. Nurse practitioners are predicted to experience the highest job growth; between 2021-2031 at 45.7%; 2019 alone saw sectors producing goods create 188,000 new jobs. Leisure and hospitality job creation decreased by 47% year-on-year between April 2020 and March 2021. President Clinton created 19 million new employment opportunities between June and July of 2022 and 528,000 nonfarm payroll employees were gained; yet by April 2020 20.5 million jobs had been lost from the economy as a whole. By 2031, it is projected that employment opportunities across the nation will reach 166.5 million; over that same timeframe childcare service workers have seen their ranks decline by 336,000. Since the COVID-19 outbreak, healthcare employment levels have suffered a dramatic decrease. By some accounts, over one and a half million employees may have left healthcare jobs since 2016. (Source: zippia.com)

Techsalerator’s Job Openings Data in Africa offers a comprehensive and insightful dataset designed to provide businesses, recruiters, labor market analysts, and job seekers with a thorough view of employment opportunities across the African continent. This dataset aggregates job postings from a wide range of sources on a daily basis, ensuring that users have access to the most current and extensive collection of job openings available throughout Africa.

Key Features of the Dataset: Broad Coverage:

The dataset aggregates job postings from numerous sources including company career pages, job boards, recruitment agencies, and professional networking sites. This extensive coverage ensures a broad spectrum of job opportunities from multiple channels. Daily Updates:

Job posting data is updated daily, providing real-time insights into the job market. 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 categorization allows users to analyze trends and opportunities within specific industries. Regional Breakdown:

The dataset includes detailed information on job openings across different countries and regions within Africa. This regional breakdown helps users understand job market dynamics and opportunities in various geographic locations. Role and Skill Insights:

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

Users can access details about the companies posting job openings, including company names, industries, and locations. This data provides insights into which companies are hiring and where the 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. African Countries Covered: Northern Africa: Algeria Egypt Libya Mauritania Morocco Sudan Tunisia Sub-Saharan Africa: West Africa: Benin Burkina Faso Cape Verde Ivory Coast (Côte d'Ivoire) Gambia Ghana Guinea Guinea-Bissau Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Central Africa: Angola Cameroon Central African Republic Chad Congo, Republic of the Congo, Democratic Republic of the Equatorial Guinea Gabon São Tomé and Príncipe East Africa: Burundi Comoros Djibouti Eritrea Eswatini (Swaziland) Ethiopia Kenya Lesotho Malawi Mauritius Rwanda Seychelles Somalia Tanzania Uganda Southern Africa: Botswana Lesotho Namibia South Africa Swaziland (Eswatini) Zimbabwe Benefits of the Dataset: Enhanced Recruitment Strategies: Recruiters and HR professionals can use the dataset to identify hiring trends, understand competitive practices, and refine 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, making their job search more efficient and targeted. Strategic Workforce Planning: Companies can gain valuable insights into the availability of talent across Africa, assisting with decisions related to market expansion, office locations, and talent acquisition. Techsalerator’s Job Openings Data in Africa is a critical resource for understanding the diverse and evolving job markets across the continent. By providing up-to-date and detailed information on job postings, it supports effective decision-making for businesses, job seekers, and labor market analysts.

Introduction

The Job Market Insights Dataset offers a comprehensive view of job postings worldwide, providing critical data on job roles, salaries, qualifications, locations, and company profiles. This dataset serves as a valuable resource for understanding global employment trends and patterns in various industries.

Objective

The primary objective of analyzing this dataset is to gain actionable insights into job market dynamics, including in-demand skills, salary ranges by role, preferred qualifications, and geographical job distributions. This analysis can empower job seekers, recruiters, and businesses to make informed decisions.

Key Features

1. Diverse Job Roles: Includes details for various professions like Network Engineers, Software Testers, UX/UI Designers, and more.
2. Global Scope: Covers jobs from diverse locations, spanning countries and industries worldwide.
3. Comprehensive Data Points: Provides salary ranges, qualifications, job types, company profiles, and benefits offered.
4. Temporal Data: Captures job posting dates to understand trends over time.
5. Skills and Responsibilities: Details required skills and responsibilities, aiding in understanding role-specific requirements.

Benefits for Data Science

• Predictive Modeling: Build models to predict salaries, skill demands, or the probability of job fulfillment.
• Trend Analysis: Identify trends in job roles, qualifications, and compensation.
• Geospatial Analysis: Map job distributions to uncover opportunities in specific regions.
• Clustering & Segmentation: Segment jobs by industry, role, or qualifications for targeted insights.
• Skill Gap Identification: Analyze skill requirements to identify gaps between current offerings and market demands.

This dataset is a goldmine for extracting insights that can optimize recruitment strategies, guide career planning, and inform educational initiatives.

Job Trends in Australia

Insight into Job Types, Salaries and Growth Across States

By [source]

About this dataset

This dataset provides an insightful look into the Australian job market and the country's current trend of economic development. It consists of 30000 unique job postings from SEEK Australia, a renowned job board in Australia, offering valuable insights regarding salaries, job types, and openings across cities and states.

The data allows researchers to compare which type of jobs are offered across different locations, providing critical information on which cities or states offer particular kinds of jobs. Moreover, it offers a framework that can be used to understand how different companies compare when it comes to salaries and hiring practices. In addition, this dataset provides an in-depth view into what type of job openings there are in each city or state and their respective salaries. All this is available through reliable columns such as city, state, company name, salary offered & url enabling effective analysis and providing consumers with much needed knowledge about their potential employment opportunities in the market

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How to use the dataset

This dataset can be used to gain insights into the Australian job market – from job types, salaries, and locations to trends in growth across states. To get started working with this data, you will need to download the dataset from Kaggle.

Once you have the dataset downloaded, it is important to become familiar with the different fields available as these will influence what kind of analysis you can do. The columns include category, city, company name, geo coordinates (for location-based analysis), job board (to determine where these jobs were posted), job description (to find relevant keywords and topics related with each position), job title (to search for specific jobs or trends in titles over time), job type (i.e full time/part-time etc.), posting date and salary offered.

You can further filter your results based on any combination of these different column values to get more targeted information about a certain area or topic that you are researching on. Additionally, visualizing certain elements such as salary ranges by region/job type may be helpful for gaining a wide understanding of Australia’s labor landscape in various sectors and cities.

Finally, it may also be useful to look at how salaries might have changed over time by comparing postings from 2 different years for example which could help identify employment growth areas or opportunities for businesses looking to set up shop in certain regions etc

Research Ideas

• Analyzing Salary Trends: By investigating the salaries of various job postings, researchers can gain insights on wage growth and wage disparities across different cities and states in Australia.
• Comparing Job Types & Salaries: Researchers can observe which cities offer higher salaries for particular job types and also get an understanding of what is expected from potential applicants.
• Tracking Job Market Growth: By using data from the years before, it is possible to identify which areas have seen the most growth in terms of job opportunities and how that compares with other areas in Australia

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: seek_australia.csv | Column name | Description | |:--------------------|:------------------------------------------------------------| | category | The category of the job posting. (String) | | city | The city in which the job is located. (String) | | company_name | The name of the company offering the job. (String) | | geo | The geographic coordinates of the job location. (String) | | job_board | The job board on which the job was posted. (String) | | job_description | The description of the job. (String) | | job_title | The title of the job. (...

Unlock valuable insights into the US job market with our extensive Dice US Jobs Dataset. This dataset is meticulously curated to provide detailed information on job listings across various industries, helping businesses, researchers, and analysts understand job trends, market demands, and employment patterns.

What’s Included:

• Comprehensive job listings from Dice
• Detailed job descriptions, requirements, and company information
• Metadata including job location, salary range, and employment type
• Structured data ready for immediate use in analysis and research

Benefits:

• Market Analysis: Gain insights into job market trends, industry demands, and employment patterns.
• Data-driven Decisions: Utilize detailed job data to inform your business strategies and HR planning.
• Research and Development: Enhance your research projects with high-quality, structured job data.

Use Cases:

• Conduct market research to identify high-demand job roles and skill sets.
• Develop machine learning models for job recommendation systems.
• Analyze employment trends to support business strategy and workforce planning.

Stay ahead in the competitive job market with our Dice US Jobs Dataset. Download now and transform your data into actionable insights.

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.

The LMCI is derived from a dynamic factor model that extracts the primary common variation from 19 labor market indicators. One essential feature of the authors' factor model is that its inference about labor market conditions places greater weight on indicators whose movements are highly correlated with each other. And, when indicators provide disparate signals, the model's assessment of overall labor market conditions reflects primarily those indicators that are in broad agreement.

Employment Rate in the United States increased to 59.70 percent in September from 59.60 percent in August of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Number of employees by North American Industry Classification System (NAICS) and data type (seasonally adjusted, trend-cycle and unadjusted), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Discover the "SEEK Australian Jobs Dataset," a valuable resource that provides an in-depth look at the job market in Australia.

This dataset features detailed job listings from SEEK, Australia's leading employment marketplace, and offers comprehensive insights into job postings across various industries and regions.

Key Features:

• Extensive Job Listings: Includes a wide range of job postings from various sectors and industries, providing a broad perspective on employment opportunities in Australia.
• Detailed Information: Each listing contains essential details such as job titles, company names, job descriptions, locations, employment types (full-time, part-time, casual), required qualifications, and salary ranges.
• Insights into Trends: Analyze trends in the Australian job market, including the most sought-after skills, top hiring companies, popular job roles, and regional distribution of job opportunities.
• Ideal for Research: This dataset is ideal for researchers, HR professionals, and data analysts looking to understand the current state of the job market, develop recruitment strategies, or study labor market trends in Australia.

Leverage the SEEK Australian Jobs Dataset to gain valuable insights into the job market, stay updated with industry trends, and make informed decisions. Whether you are a job seeker, employer, or researcher, this dataset provides a wealth of information to explore the dynamics of employment in Australia.

The Employment Dispute Resolution Platforms market has emerged as a vital sector in today's complex workplace dynamics, where conflicts between employers and employees are increasingly common. These platforms provide innovative solutions for resolving disputes efficiently and effectively, minimizing the need for len

Explore the "Naukri Job Listings Dataset," a rich resource providing detailed information on the job market in India.

This dataset includes job postings from Naukri.com, one of India’s leading job portals, and offers comprehensive data across various industries and locations.

Key Features:

• Extensive Job Listings: Contains a wide range of job postings from different sectors and industries, giving a holistic view of employment opportunities in India.
• Detailed Information: Each listing includes crucial details such as job titles, company names, job descriptions, locations, employment types (full-time, part-time, contract), required qualifications, and salary information.
• Insights into Trends: Analyze the latest trends in the Indian job market, including in-demand skills, top hiring companies, popular job roles, and regional employment patterns.
• Ideal for Research: This dataset is perfect for researchers, HR professionals, and data analysts interested in studying labor market trends, developing recruitment strategies, or understanding the dynamics of employment in India.

Utilize the Naukri Job Listings Dataset to gain valuable insights into the Indian job market, helping you stay ahead of trends and make informed decisions. Whether you are a job seeker, employer, or researcher, this dataset provides a wealth of information on job opportunities and market dynamics in India.

Deduplicated aggregated job data by area and occupation with salary data. Data is available for USA and territories by FIPS area codes, ONET occupation code, NAIC industry code, education group, and experience group, with USD salary information by month, quarter, and year time frames. Data includes aggregations for both active jobs in given time frame and those first posted in given time frame.

1B+ job posts 42k+ job sources 5M+ unique employers 4.8M new jobs per month 18 years of data

At iQuery, we provide unparalleled insight into the labor market through our proprietary aggregated jobs data. By combining historical data with real-time job postings, our platform captures employment trends as they unfold—offering powerful predictive capabilities for workforce analysis, planning, and development.

Our specialized team of developers processes and refines 7 to 10 million job listings daily, collected from a wide array of online sources including public and private job boards, government portals, healthcare systems, and various other employment websites. We ensure data freshness by validating and de-duplicating postings and conducting daily checks to confirm their active status—making our datasets among the most accurate and current in the industry.

Our dedicated Data Services Team enhances the dataset by assigning standardized taxonomy codes for occupation (ONET), employer industry (NAICS), location (FIPS), education level, and experience requirements. We also offer crosswalk capabilities between Classification of Instructional Programs (CIP) codes and federal taxonomies, enabling education providers to align curricula with real-time and projected workforce needs. Our proprietary taxonomy extends to skills, tools, and certifications, further enriching each job posting for granular labor market analysis.

With a comprehensive blend of real-time and historical data, our platform supports economic development by tracking workforce dynamics across occupations, industries, and skill sets. Our in-house economist and analysts generate reliable labor market forecasts—including unemployment trends—often outperforming traditional forecasting models.

Our data empowers a wide range of stakeholders:

Governments can assess local labor supply to attract employers and inform policy. Researchers can uncover trends and model future workforce shifts. Employers can locate optimal labor pools for hiring needs. Colleges and universities can tailor programs and credentials to match employer demand in specific regions. iQuery delivers a data-rich foundation for workforce planning, policy development, and educational alignment—driving smarter decisions in a dynamic labor market.

1) Data Introduction • The Data Science Salaries 2023 Dataset is a global annual salary analysis dataset that summarizes a variety of information in a tabular format, including salary, career, employment type, job, remote work rate, and company location and size for data science jobs as of 2023.

2) Data Utilization (1) Data Science Salaries 2023 Dataset has characteristics that: • Each row contains 11 key characteristics, including year, career level, employment type, job name, annual salary (local currency and USD), employee country of residence, remote work rate, company location, and company size. • Data is organized to reflect different countries, jobs, careers, and work patterns to analyze pay and work environments in data science in three dimensions. (2) Data Science Salaries 2023 Dataset can be used to: • Data Science Salary Analysis and Comparison: Analyzing salary levels and distributions by job, career, country, and company size can be used to understand industry trends and market value. • Establishing Recruitment and Career Strategies: It can be applied to recruitment strategies, career development, global talent attraction, etc. by analyzing the correlation between various working conditions and salaries such as remote work rates, employment types, and company location.

This dataset provides values for LABOR MARKET CONDITIONS INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Employment by industry and sex, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.

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.