Global Operations Team Lead

In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models.

Grow With Us

Workstream is looking for a Team Lead for Global Data Operations. In this role, you will serve as the frontline leader bridge between the Operations Manager and the Video Data Contributors / Quality Auditors. You will be responsible for daily team performance, real-time technical troubleshooting, and auditing video footage for accuracy, camera alignment, and data compliance.

This is a high-impact role for someone who thrives in fast-paced tech operations, possesses strong attention to detail, and enjoys coaching a distributed team.

Day In The Life

Team Leadership & Daily Operations

• Lead, mentor, and monitor the daily output of a team of Video Data Contributors and Quality Reviewers.
• Track key team metrics including daily upload volume, active contributor retention, and error rates.
• Conduct regular Q&A sessions and support office hours to answer contributor questions on filming protocols and hardware setup.
• Foster high engagement and lower churn across a contract-based/distributed team.

Technical Guidance & Quality Assurance

• Perform regular audits on uploaded video data to verify usability, camera positioning, lighting, and recording angles.
• Troubleshoot hardware setup issues (wearable multi-camera setups, head-straps, smartphone mounts) and resolve technical uploading bottlenecks (Google Drive, cloud tools).
• Identify recurring failure patterns in footage and work with the Operations Manager to update guidelines and training materials.

Onboarding & Hardware Coordination

• Support the onboarding of new team members, conducting technical readiness checks and verifying required hardware/camera specs prior to project launch.
• Help manage local physical lab activities and equipment usage when transitioning to office-based operations.

Compliance & Administration

• Enforce strict data privacy protocols (e.g., ensuring no PII or non-consented faces/sensitive items are present in footage).
• Track contributor hours, video task completion rates, and submission logs to assist management with compensation and bonus payouts.

Recruitment Support & Onboarding Coordination

• Application Screening Support: Assist the Recruiting team by screening incoming applications against specific operational criteria (e.g., camera/smartphone hardware specs, workplace access, schedule availability).
• Onboarding Execution: Coordinate with People Ops to guide qualified candidates through document completion, NDA signing, and equipment setup, resolving bottlenecks to get contributors ready quickly.
• Pipeline Status Tracking: Track squad capacity and candidate conversion rates, flagging upcoming contributor shortages to the Recruiting team to trigger hiring drives before production targets are missed.

Financial Reconciliation & Payroll Coordination

• Hours & Data Reconciliation: Audit weekly contributor activity logs against verified, usable video uploads to ensure the company only pays for approved footage.
• Finance Reporting: Consolidate squad data into accurate "Ready-to-Pay" reports and submit them to the Finance/Payroll team on scheduled payout cycles.
• Payout Support & Dispute Resolution: Act as the primary administrative contact for contributor payment inquiries, investigating and resolving discrepancies between submitted logs and final payouts.

Who You Are

• Leadership Experience: 3+ years of experience as a Team Lead or Senior Specialist in BPO, AI Data Annotation, Marketplace Operations, or Tech Operations.
• Technical Aptitude: Tech-savvy with hands-on experience using multi-camera hardware, smartphones, or recording wearables. Ability to quickly master and teach multi-angle recording nuances.
• Eye for Quality: Exceptional attention to detail with experience auditing visual or data-driven deliverables.
• Communication: Excellent verbal and written English communication skills; comfortable hosting team syncs and drafting operational guidelines.
• Adaptability: Comfortable working with distributed/gig workforce structures and operating in a high-growth startup environment.

Preferred Qualifications

• Prior experience in AI/Computer Vision data collection, Data Labeling, or Media Production/QA.
• Experience in hardware tracking or logistics management.
• Exposure to working with cross-functional global teams (US and Philippines).

Working Conditions & Requirements

• Work Setup: Initial remote/work-from-home setup, transitioning to a hybrid/office-based setup in Metro Manila (2 to 4 days per week).
• Compliance: Strict policy on moonlighting; candidates must agree to background