AI Application Processing for an Online Talent Marketplace
A major online talent marketplace reduced the time required to evaluate and draft candidate profiles from over 30 minutes to under 30 seconds by implementing an AI agent that automatically parses resumes and LinkedIn profiles, generates complete online profiles, extracts skills and industry tags, and notifies the internal team for final review.
Overview
Osher Digital team built and deployed an automated AI workflow for a large online talent marketplace. The solution processes incoming applications by extracting data from submitted resumes and LinkedIn profiles, drafting structured public-facing profiles, applying accurate skill and industry tags, and alerting the review team when a profile is ready for publication. The entire process now completes in seconds rather than requiring extensive manual effort.
About
The client operates one of the largest online talent marketplaces, connecting businesses with freelance professionals. High application volumes created a bottleneck in candidate onboarding, as each submission required manual review and profile creation before freelancers could be listed and matched with projects.
Problem
- Large number of daily applications required manual editing and review.
- Staff spent more than 30 minutes per application reading CVs, visiting LinkedIn profiles, extracting relevant experience and education, writing profile summaries, and manually tagging skills and industries.
- Manual processing led to inconsistent profile quality, delays in getting freelancers active on the platform, and restricted the team’s capacity to focus on higher-value vetting and client matching activities.`
Solution
Osher Digital designed and implemented a fully automated AI agent using n8n as the orchestration layer, OpenAI models for natural language processing and content generation, and custom API integrations for data extraction and platform integration.
Key components include:
- Automated parsing of uploaded CVs (PDF and Word formats) and LinkedIn profile URLs.
- Extraction and structuring of work experience, education, certifications, and other relevant sections.
- Generation of professional profile headers, experience descriptions, and education summaries in the client’s required tone and format.
- AI-driven tagging of hard and soft skills plus industry experience using contextual analysis.
- Creation of the complete draft profile directly in the client’s content management system.
- Instant notification to the internal review team via Slack and email once the draft is ready for final approval and publication.
The workflow runs without human intervention until the notification stage, ensuring consistency and speed.
Results
This project significantly improve the client’s efficiency, freeing up staff to focus on more valuable work:
- Average profile drafting and evaluation time reduced from over 30 minutes to under 30 seconds per application.
- Processing capacity increased dramatically, eliminating backlogs even during peak application periods.
- Profile consistency and quality improved due to standardised AI-generated content and accurate skill extraction.
- Internal team members now focus on final review, quality assurance, and strategic matching rather than repetitive data entry and writing tasks.
- Faster onboarding has allowed the marketplace to activate qualified freelancers more quickly, improving platform growth and client satisfaction.
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