Datasets:
job_title
stringlengths 2
128
|
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.NET Developer |
.NET Programmer |
2D Animation Artist |
2D Animation Designer |
2D Animation Specialist |
2D Animator |
2D Automotive Designer |
2D Car Designer |
2D Computer Animation Artist |
2D Layout Animator |
2D Layout Artist |
2D Stop-motion Animator |
2D Truck Designer |
360 Degree Excavator Operator |
3D Animation Artist |
3D Animation Designer |
3D Animation Specialist |
3D Animator (three-dimensional Animator) |
3D Artist (three Dimensional Artist) |
3D Automotive Designer |
3D CAD Design Specialist |
3D CAD Designer |
3D CAM Technician |
3D Car Designer |
3D Computer-aided Manufacturing Technician |
3D Computer-generated Imagery Animator |
3D Designer (three-dimensional Designer) |
3D Developer |
3D Digital Artist |
3D Digital Matte Painter |
3D Footwear Expert |
3D Footwear Product Designer and Developer |
3D Layout Animator |
3D Layout Artist |
3D Modeler (three-dimensional Modeler) |
3D Modeller |
3D Print Service Technician |
3D Printer Operator |
3D Printer Repairer |
3D Printing Field Service Technician |
3D Printing Repairer |
3D Printing Tech (three Dimensional Printing Technician) |
3D Specialist (three-dimensional Specialist) |
3D Technologist |
3D Texturing Artist |
3D Truck Designer |
4-H Agent |
4-H Club Agent |
4-H Youth Development Specialist |
4-H Youth Educator |
411 Directory Assistance Operator (411 Directory Assistance Op) |
911 Communications Manager |
911 Dispatcher |
911 Emergency Services Dispatcher |
911 Operator |
911 Telecommunicator |
A & P Mechanic (airframe And/or Powerplant Mechanic) |
A&P Instructor (anatomy and Physiology Instructor) |
A&P Technician (airframe and Powerplant Technician) |
A/C Installer-servicer (air Conditioning Installer-servicer) |
A/C Mechanic (air Conditioner Mechanic) |
A/C Service Tech (air Conditioning Service Technician) |
A/C Tech (air Conditioning Technician) |
A/V Installation Tech (audio Visual Installation Technician) |
A/V Installer (audio Visual Installer) |
AADC Plans Staff Officer |
AB |
ABA Behavior Therapist (applied Behavior Analysis Behavior Therapist) |
AC Installer Supervisor (air-conditioning Installer Supervisor) |
AC Insulation Installer (air Conditioning Insulation Installer) |
AC Mechanic (air Conditioning Mechanic) |
AC Repairer |
AC Sheet Metal Installer (air Conditioning Sheet Metal Installer) |
AC Supervisor (air Conditioning Supervisor) |
AC/DC Rewinder (alternating Current and Direct Current Rewinder) |
ACDS Block 1 Operator |
ACES Engineer |
ACNP (acute Care Nurse Practitioner) |
ACT Instructor (american College Testing Instructor) |
ACT Tutor (american College Test Tutor) |
ADAS Testing and Validation Engineer |
ADF Testing and Validation Engineer |
ADP Planner (automatic Data Processing Planner) |
ADR Driver |
ADR Editor |
AEGIS Console Operator Track 3 |
AI Consultant (artificial Intelligence Consultant) |
AI Engineer |
AI Security Specialist (artificial Intelligence Security Specialist) |
AI Specialist |
AI System Designer |
AI Technician |
AIDS Counselor |
AIDS Social Worker |
AM Operator |
AM Technician |
AMF Mechanic |
AML Analyst (anti-money Laundering Analyst) |
AML Consultant (anti-money Laundering Consultant) |
AML Director (anti-money Laundering Director) |
Comprehensive Job Titles Dataset
A high-quality, deduplicated dataset of 65,248 unique job titles compiled from authoritative sources including ESCO (European Skills, Competences, Qualifications and Occupations), O*NET (Occupational Information Network), and OSCA (Occupational Skills and Competencies Australia).
Dataset Description
This dataset provides a comprehensive collection of job titles that have been carefully processed to remove duplicates and near-duplicates using semantic similarity matching. It serves as a valuable resource for:
- Job matching and recommendation systems
- Resume parsing and analysis
- Labor market research
- Career counseling applications
- HR technology development
- Natural language processing tasks related to employment
Dataset Structure
The dataset is provided in Parquet format with a single column:
job_title
(string): The standardized job title
Example entries:
.NET Developer
2D Animation Artist
Accounting Clerk
Administrative Assistant
Agricultural Engineer
AI Research Scientist
Business Analyst
Chef
Data Scientist
Sources
The dataset combines job titles from three major occupational classification systems:
ESCO v1.2.0 (European Commission)
- ~33,000 occupations with multilingual support
- Includes preferred labels, alternative labels, and hidden labels
- Structured according to ISCO-08 classification
O*NET Database v29.3 (U.S. Department of Labor)
- ~1,000 detailed occupational descriptions
- Comprehensive taxonomy of U.S. occupations
- Includes detailed job characteristics and requirements
OSCA (Australian Government)
- Australian occupational classifications
- Principal titles, alternative titles, and specializations
Processing Pipeline
1. Extraction
Job titles were extracted from multiple source files:
- ESCO: Preferred labels and alternative labels from
occupations_en.csv
- O*NET: Occupation titles from
Occupation Data.txt
- OSCA: Principal titles and alternative titles from Excel files
2. Deduplication
A sophisticated deduplication process was applied:
- Embedding Model:
sentence-transformers/all-mpnet-base-v2
- Similarity Threshold: 0.85 (cosine similarity)
- Strategy: Length-based blocking for efficiency
- Preference: Shorter titles retained (typically more general/common)
The deduplication process identified semantically similar job titles such as:
- "Software Developer" and "Software Engineer"
- "Administrative Assistant" and "Admin Assistant"
- "Customer Service Representative" and "Customer Service Rep"
3. Quality Control
- Removed exact duplicates (case-insensitive)
- Filtered out malformed entries
- Standardized formatting and capitalization
- Preserved diversity while eliminating redundancy
Statistics
- Total unique job titles: 65,248
- Original titles before deduplication: ~100,000+
- Reduction rate: ~35% (semantic duplicates removed)
- File size: 756.7 KB (Parquet format with Snappy compression)
Use Cases
1. Job Search and Matching
import pandas as pd
# Load the dataset
df = pd.read_parquet('jobs.parquet')
# Search for data-related jobs
data_jobs = df[df['job_title'].str.contains('Data', case=False)]
2. Building Job Title Embeddings
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('all-mpnet-base-v2')
job_titles = df['job_title'].tolist()
embeddings = model.encode(job_titles)
3. Job Title Standardization
Use this dataset as a reference for standardizing job titles in your organization or application.
Limitations
- Language: English only (though source data includes multilingual options)
- Geographic bias: Stronger coverage of European, U.S., and Australian job markets
- Temporal: Reflects job titles as of 2025; emerging roles may not be included
- Granularity: Some highly specific or niche job titles may have been merged during deduplication
License
This dataset combines data from multiple sources, each with their own licensing:
- ESCO: European Union Public License (EUPL)
- O*NET: Public domain (U.S. Government work)
- OSCA: Creative Commons Attribution 3.0 Australia
Please review the original source licenses for commercial use.
Citation
If you use this dataset in your research or applications, please cite:
@dataset{jobs_dataset_2025,
author = {Greg Priday},
title = {Comprehensive Job Titles Dataset},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/gpriday/jobs}
}
Acknowledgments
This dataset builds upon the excellent work of:
- European Commission (ESCO)
- U.S. Department of Labor (O*NET)
- Australian Government (OSCA)
Contact
For questions, suggestions, or contributions, please open an issue on the dataset repository.
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