JOBSELECT LABS / PRODUCTS

One ecosystem for job intelligence.

Analyze job descriptions, extract technical skills, and integrate JobSelect into your own workflows.

Open Source · AI/NLP · Developer Tools

Job Seekers

Analyze job descriptions through the Web Job Analyzer.

Developers

Integrate JobAnalyze through the hosted API or Python CLI.

AI/Agent Developers

Connect JobAnalyze through MCP.

New modelSBERT · Semantic embeddings

Meet JobAnalyze SBERT

A sentence-transformer-based model path for job-description skill analysis. SBERT converts job text into semantic embeddings before classification, complementing the existing TF-IDF-based JobAnalyze 6k model with a representation designed to capture contextual meaning beyond exact keyword overlap.

Representation

Sentence embeddings

Semantic context from job-description text.

Pipeline

Embeddings + classifier

A separate model path alongside the TF-IDF baseline.

Best for exploring

Context-aware matching

Compare semantic signals with keyword-based predictions.

Model outputs depend on the trained artifacts and thresholds; semantic embeddings do not guarantee higher accuracy for every job description. Check the model documentation for evaluation details and current availability.

Product suite

Tools for understanding, analyzing, and integrating job intelligence.

WEB APP

Job Analyzer

Analyze a job description in the browser and explore detected skills, requirements, experience signals, and structured job insights.

  • Interactive analysis
  • Skill extraction
  • Role/type context
  • Visual results
  • Analysis history UI
  • Skill-gap presentation
AI MODEL

JobAnalyze 6k

A lightweight multi-label PyTorch skill classifier that predicts a fixed vocabulary of skills from a job description plus role and job type.

  • TF-IDF input features
  • PyTorch feed-forward network
  • Multi-label classification
  • 48 labels in the documented v1 sample vocabulary
  • 32-unit hidden layer
  • Sigmoid-ranked skill probabilities
  • Designed for fast, lightweight inference
PYTHON CLI

JobSelect CLI

A terminal interface for analyzing job descriptions using the hosted API, with local inference available as a fallback.

$ pip install jobselect
  • Interactive terminal workflow
  • Job Description / Role / Type prompts
  • API-first inference
  • Local fallback
  • Ranked top skills
  • Rich terminal presentation
DEVELOPER PLATFORM

API & MCP

Integrate JobAnalyze into applications, automation workflows, and AI-agent environments.

REST APIMCPPythonAI Agents

How it fits together

                    JOBSELECT LABS
                          |
          +---------------+---------------+
          |               |               |
          v               v               v
     Web Analyzer     JobSelect CLI    Developer API
          |               |               |
          +---------------+---------------+
                          |
                          v
                    JobAnalyze 6k
                          |
                          v
                         MCP

Choose your workflow

I want to analyze a job

Paste a job description and explore the detected skills and requirements.

I want to use JobSelect in Python

Install the CLI and run job-description skill analysis from your terminal.

I want to integrate JobAnalyze

Connect the hosted API or MCP server to your own applications and AI workflows.

Built openly. Designed to be extended.

JobSelect Labs is an open-source venture focused on practical job-description analysis and lightweight NLP tooling.

BUILT WITHPythonPyTorchscikit-learnNumPyPandasFastAPITF-IDFMCP

Start with a job description. Build from there.