GIG Recruitment Specialist (1 yr contract)
The Gig Recruiter is responsible for sourcing, screening, and onboarding gig workers for short-term, project-based, and specialized roles. This position ensures timely fulfillment of gig requirements through digital platforms and internal talent pools while maintaining compliance and quality standards.
Key Responsibilities:
- Talent Sourcing:
- Identify and engage gig workers through platforms like Upwork, Fiverr, Toptal, and internal gig marketplaces.
- Connect with Vendor, Drive ER to generate GIG pipeline
- Build and maintain a pipeline of freelancers and contractors for recurring needs.
- Screening & Selection:
- Conduct skill assessments, portfolio reviews, and AI-driven interviews.
- Shortlist candidates based on predefined criteria (skills, availability, cost).
- Onboarding:
- Facilitate smooth onboarding for gig workers, including access to tools and project guidelines.
- Ensure compliance with company policies and confidentiality agreements.
- Documentation & Compliance:
- Prepare gig agreements and NDAs.
- Collect KYC documents and ensure tax compliance.
- Performance Monitoring:
- Track deliverables and timelines using project management tools.
- Gather feedback from project managers and maintain performance records.
- Reporting
- Maintain gig recruitment metrics (time-to-hire, cost per hire).
- Provide weekly/monthly reports to HR leadership.
Required Skills & Qualifications:
- Bachelor's degree in HR, Business Administration, or related field.
- Experience in IT recruitment, preferably in gig or flexible workforce hiring.
- Familiarity with gig platforms and digital recruitment tools.
- Strong communication and negotiation skills.
- Basic understanding of compliance and tax regulations for gig workers.
Preferred Skills
- Experience with AI-based recruitment tools.
- Knowledge of ITES or technology-driven gig roles.
- Ability to manage high-volume hiring in fast-paced environments.
Key Competencies
- Adaptability
- Attention to detail
- Relationship management
- Data-driven decision-making