In this article, we explain the auto skill tagging feature available in Refari’s job board system. Skill tagging improves job searchability by adding relevant keywords based on the job description. This feature can be used manually or, more conveniently, automatically through AI. Additionally, we cover how this skill tagging integrates with LinkedIn job wrapping to improve job visibility and categorisation on LinkedIn.
Understanding Auto Skill Tagging in Refari
Skill tags enable jobs to be more searchable by associating relevant skills and keywords with each job advert. While users can add these tags manually, Refari offers an AI-powered feature to automatically assign skills based on the job ad text. This AI leverages a large language model (LLM) to analyse the job description and suggest appropriate skill tags.
Enabling Auto Skill Tagging
- Navigate to Settings > Company Settings > AI Settings.
- Enable the option “Job ad skill tagging.”
- The system will then automatically tag job ads with relevant skills derived from the job description.
LinkedIn Job Wrapping and Skill Tagging
Refari offers LinkedIn job wrapping, allowing jobs posted on your Refari job board to be automatically published on your LinkedIn company page provided you have paid LinkedIn job slots. This is done via a feed from your job board that LinkedIn ingests. When candidates apply through LinkedIn, traffic is routed back to your website, capturing applications and related data efficiently.
How Skill Tagging Enhances LinkedIn Job Wrapping
LinkedIn uses specific job tags to display job details such as:
- Job location type (onsite, hybrid, remote)
- Seniority level (entry-level, mid-senior, director, executive, etc.)
You can manually add these tags (e.g., #remote, #director) when creating job adverts, and LinkedIn uses them to categorize and present jobs appropriately.
Automated LinkedIn Job Wrapping Tagging with AI
To reduce the chance of missing tags, Refari’s AI skill tagging also includes automatic tagging specifically for LinkedIn job wrapping. The AI reads the job description, determines the best fitting tags for location and seniority, and applies these tags. This ensures your jobs are consistently and correctly tagged without relying on recruiters to remember the details.
Activating LinkedIn Wrapping Tagging Feature
- In the AI settings, enable both “Job ad skill tagging” and “LinkedIn job wrapping tagging” options.
- This will send not only job listings but also metadata about job type (e.g., remote vs onsite) and level (e.g., entry, director) within the feed to LinkedIn.
Benefits of Using Auto Skill Tagging with LinkedIn Job Wrapping
- Improves job discoverability on your Refari job board and LinkedIn.
- Ensures consistent tagging and presentation in LinkedIn’s job feed.
- Saves recruiters time by automating tag assignment.
- Enables better filtering and reporting based on job location and seniority.
Manual Tagging Option
Recruiters can still manually add skill tags or LinkedIn-specific tags when posting jobs if preferred, providing flexibility.
Summary
Refari’s auto skill tagging and LinkedIn job wrapping tagging features combine AI-powered automation with integrations to maximise job visibility and streamline job posting workflows. These powerful tools help companies maintain well-tagged job listings effortlessly while enhancing the candidate experience on both your job board and LinkedIn.
Notes: Always verify that AI-generated tags match your company’s specific job requirements. Ensure your LinkedIn job slots are active for job wrapping to function properly. Manual overrides remain possible if you want custom tags.
Ideas: Consider periodically reviewing auto-tagged jobs to refine AI accuracy. Use tags to segment reports and analyse job application trends.
Other articles you might be interested in: Tags in your job adverts, how and why?
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