Remote Talent Sourcer — Commission-Only, High Earnings

vamasters, Inc.; San Fernando; On-site; PHP 188,000 - 750,000; Part time

Job summary

vamasters, Inc. is seeking a highly motivated Candidate Sourcing Specialist for a remote, commission-based role. You will source and screen qualified candidates primarily via LinkedIn, OnlineJobs, Upwork, and other job boards. Earnings are based on successful placements, with $200 paid per placement.

This role is ideal for experienced recruiters who thrive in performance-based environments and can work independently to build a robust candidate pipeline.

Qualifications

• Proven experience sourcing candidates on platforms like LinkedIn, OnlineJobs, Upwork.
• Strong knowledge of candidate sourcing strategies.
• Ability to evaluate resumes and profiles quickly and effectively.
• Excellent written and verbal communication skills.
• Self-motivated and able to work independently.

Responsibilities

• Source qualified candidates through LinkedIn, OnlineJobs, Upwork and similar boards.
• Reach out to potential candidates and share role details.
• Review resumes to assess fit for openings.
• Screen candidates to confirm job requirements.
• Maintain records of candidates and communication history.
• Collaborate with team to refine search criteria.
• Build and maintain a proactive candidate pipeline.
• Provide regular updates on sourcing progress.
• Track and report sourcing results to improve processes.
• Attend team meetings to understand recruiting needs.

Skills

Sourcing platforms

Candidate screening

Communication

Independent work

CRM/ATS familiarity

Organization

Results-driven

Tools

CRM tools

ATS

Job description

vamasters, Inc. is seeking a highly motivated Candidate Sourcing Specialist for a remote, commission-based role. You will source and screen qualified candidates primarily via LinkedIn, OnlineJobs, Upwork, and other job boards. Earnings are based on successful placements, with $200 paid per placement.

This role is ideal for experienced recruiters who thrive in performance-based environments and can work independently to build a robust candidate pipeline.