Dark Mode
AI Career Navigator: Salary & Skills Dataset
NLP / Natural Language Processing
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset offers detailed information on job positions, salaries, and market trends within the Artificial Intelligence (AI) and machine learning sectors across various countries, experience levels, and company sizes. It provides insights into salary data, job requirements, company details, and geographical trends. Key features include over 15,000 job listings from more than 50 countries, salary data in multiple currencies (normalised to USD), categorisation by experience level (Entry, Mid, Senior, Executive), analysis of company size impact, remote work trends, skills demand analysis, and time-series data illustrating market evolution. This synthetic dataset is created for educational purposes to simulate real-world AI job market patterns.
Columns
- job_id: A unique identifier for each job posting (String).
- job_title: The standardised job title (String), e.g., Machine Learning Researcher, AI Software Engineer.
- salary_usd: The annual salary in USD (Integer), ranging from approximately 32.5k to 399k USD.
- salary_currency: The original salary currency (String), predominantly USD and EUR.
- salary_local: Salary in local currency (Float).
- experience_level: Categorisation of experience (String): EN (Entry), MI (Mid), SE (Senior), EX (Executive).
- employment_type: Type of employment (String): FT (Full-time), PT (Part-time), CT (Contract), FL (Freelance).
- job_category: The specific job category (String), such as ML Engineer, Data Scientist, AI Researcher.
- company_location: The country where the company is located (String), with examples like Germany, Denmark.
- company_size: The size of the company (String): S (Small <50), M (Medium 50-250), L (Large >250).
- employee_residence: The country where the employee resides (String), with examples like Sweden, France.
- remote_ratio: Indicates the remote work status (Integer): 0 (No remote), 50 (Hybrid), 100 (Fully remote).
- required_skills: The top 5 required skills, comma-separated (String), e.g., Python, TensorFlow, PyTorch.
- education_required: The minimum education requirement (String), e.g., Bachelor, Associate.
- years_experience: The required years of experience (Integer), ranging from 0 to 19 years.
- industry: The industry sector of the company (String), with examples like Retail, Media.
- posting_date: The date when the job was posted (Date), ranging from January 2024 to April 2025.
- application_deadline: The application deadline (Date), ranging from January 2024 to July 2025.
- job_description_length: Character count of the job description (Integer), typically between 500 and 2499 characters.
- benefits_score: A numerical score of the benefits package (Float) on a scale of 1-10.
- company_name: The name of the company (String), e.g., TechCorp Inc, Cognitive Computing.
Distribution
The dataset is primarily available as a main CSV file,
main_dataset.csv, containing 15,247 rows of job market data and sized at 2.59 MB. It is supplemented by several other CSV files, including skills_analysis.csv (skill frequency data), company_profiles.csv (company information), geographic_data.csv (country/city details), and time_series.csv (monthly trends). A data_dictionary.pdf provides detailed documentation.Usage
This dataset is ideal for various applications and analyses:
- Salary Prediction Models: Build machine learning models to predict AI job salaries and analyse factors influencing compensation, including comparisons across different locations.
- Market Trend Analysis: Track the evolution of the AI job market, identify emerging job roles and skills, and analyse remote work adoption patterns.
- Career Planning: Understand skill requirements for different positions, compare opportunities across countries, and plan career progression paths within the AI sector.
- Business Intelligence: Conduct analyses of company hiring patterns, identify skills gaps, and gain insights into market competition.
- Geographic Studies: Perform cost of living versus salary analysis, assess regional market maturity, and explore correlations with immigration patterns.
Coverage
The dataset covers job market and salary trends across more than 50 countries globally. The time range for job postings spans from January 2024 to April 2025, with application deadlines extending to July 2025, reflecting a forward-looking or simulated market. Data is categorised by experience level (Entry, Mid, Senior, Executive) and company size (Small, Medium, Large). It is important to note that this is a synthetic dataset, algorithmically generated based on industry research and market trends for educational and research purposes. All personal information has been anonymised.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data Science Enthusiasts: For practical exercises in building predictive models and conducting data analysis.
- Career Researchers: To study employment trends, skill demands, and career progression paths in the AI industry.
- Market Analysts: To assess market competition, identify emerging roles, and understand geographic variations in the AI job market.
Dataset Name Suggestions
- Global AI Job Market & Salary Trends 2025: Analysis of 15,000+ Positions
- AI & Machine Learning Job Market Insights (2024-2025)
- Future of AI Work: Global Salary & Employment Trends
- AI Career Navigator: Salary & Skills Dataset
- Worldwide AI Talent Market Study
Attributes
Original Data Source: AI Career Navigator: Salary & Skills Dataset
QUALITY