# Tag Greenhouse, Lever and Ashby jobs with AI

**Use case:** 

Enrich jobs from our Greenhouse, Lever, Ashby and Workday scraper (ats-jobs-scraper) with AI tags: seniority, job function, remote scope, visa sponsorship, relocation and people management. Put the scraper run's dataset in datasetIds.

## Input

```json
{
  "items": [
    {
      "provider": "greenhouse",
      "company": "northwind",
      "companyName": "Northwind Analytics",
      "title": "Engineering Manager, Data Platform",
      "department": "Engineering",
      "workplaceType": "remote",
      "location": "Remote - Europe",
      "descriptionText": "Lead a team of six data engineers. 8+ years of engineering, 2+ years managing people. Remote within European time zones. Relocation not offered. Salary EUR 110,000 - 130,000."
    },
    {
      "provider": "lever",
      "company": "alpenblick",
      "companyName": "Alpenblick Reisen",
      "title": "Product Designer",
      "department": "Design",
      "workplaceType": "hybrid",
      "location": "Munich",
      "descriptionText": "Hybrid, two days a week in our Munich office. 3+ years designing consumer apps. We offer visa sponsorship and relocation support for candidates from outside the EU."
    }
  ],
  "keepOriginalFields": false
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "companyName": {
    "label": "Company",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "jobFunction": {
    "label": "Function",
    "format": "string"
  },
  "workMode": {
    "label": "Work mode",
    "format": "string"
  },
  "remoteScope": {
    "label": "Remote from",
    "format": "string"
  },
  "employmentType": {
    "label": "Type",
    "format": "string"
  },
  "visaSponsorship": {
    "label": "Visa",
    "format": "string"
  },
  "minYearsExperience": {
    "label": "Min. years",
    "format": "integer"
  },
  "salaryStated": {
    "label": "Salary stated",
    "format": "boolean"
  },
  "url": {
    "label": "Job page",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Job Postings AI Classifier – Seniority, Remote & Visa Actor is ready to run with the inputs already set for "Tag Greenhouse, Lever and Ashby jobs with AI". [Sign up or log in](https://console.apify.com/create-task-from-example/FdhKG9RITjiy17CHg) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Tag Greenhouse, Lever and Ashby jobs with AI" task

The Job Postings AI Classifier – Seniority, Remote & Visa Actor will start running based on the input automatically. You can also change all the input fields, like or paste job postings and keep the source row's job fields, to match your specific use case.

### 3. Receive the "Tag Greenhouse, Lever and Ashby jobs with AI" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, company, seniority, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Tag Greenhouse, Lever and Ashby jobs with AI" task via API](https://apify.com/glidepath/job-postings-ai-tagger.md).

## About this Actor

This example demonstrates how to use [Job Postings AI Classifier – Seniority, Remote & Visa](https://apify.com/glidepath/job-postings-ai-tagger.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/glidepath/job-postings-ai-tagger.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/glidepath/job-postings-ai-tagger.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).