SSF-Aligned Job Description Generator
Generate recruiter-ready, SSF-compliant job descriptions for the Singapore workforce in seconds.
This model is developed by iMocha to generate Singapore Skills Framework (SSF)–aligned, structured job descriptions suitable for enterprise HR platforms, skills intelligence systems, and talent assessment workflows.
It ensures consistent structure, professional tone, and regulatory alignment, reducing manual effort for HR teams and recruiters.
Why This Model?
- Designed specifically for Singapore Skills Framework (SSF) compliance
- Produces structured, recruiter-ready outputs without prompt engineering
- Demonstrates excellent semantic accuracy (BERTScore F1: 0.91+)
- Ensures 100% SSF section completeness
- Suitable for enterprise-scale HR and talent intelligence workflows
Model Overview
- Model Family: LLaMA-3.2-3B-Instruct
- Owner: iMocha
- Primary Task: SSF-aligned job description generation
- Language: English
- Domain Focus: Singapore workforce and skills taxonomy
Key Capabilities
- Generates structured, recruiter-ready job descriptions
- Ensures 100% compliance with SSF section requirements
- Produces professionally written, non-generic content
- Adapts to different roles, sectors, tracks, and career levels
- Suitable for enterprise HR and talent intelligence use cases
Performance Highlights
| Metric | Score | Interpretation |
|---|---|---|
| ROUGE-1 | 0.5743 | Strong coverage of key job-related terms |
| ROUGE-2 | 0.3334 | Good phrase-level accuracy |
| ROUGE-L | 0.4335 | Consistent structural similarity |
| BERTScore (F1) | 0.9170 | Excellent semantic alignment |
| SSF Structure Compliance | 100% | All required SSF sections present ✓ |
Summary:
The model demonstrates high semantic accuracy, strong content alignment, and perfect structural reliability, making it suitable for production HR workflows.
Copy-Paste Prompt
Generate a concise, recruiter-ready, SSF-aligned job description.
Role:
Sector:
Track:
Career Level:
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Model tree for imocha-ai-org/job-description-generator
Base model
meta-llama/Llama-3.2-3B-Instruct