Job Description
Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl’s Jr./Hardee’s, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
Values
Here are our Company Values and we’d love to have individuals who can be a culture add to our team!
What We Offer
- Permanently Remote
- Pay wired directly to your bank account
- $50 Monthly Stipend
- Annual Bonus
- Performance-based bonuses
- Flexible PTO
- Enjoy company time off during some of the major US and PH Holidays
- Company-issued Device
- Career fast track for performers and internal mobility
- Learn from a team of Stanford, MIT, Google and Harvard alumni
Grow With Us
Workstream is looking for an Operations Manager for Global Data Operations. In this role, you will lead the most critical data-gathering initiative for Workstream’s robotics division. You will partner closely with the Recruiting and People Ops teams to drive high-volume participant acquisition, while taking direct ownership of the ongoing management and data output quality of hundreds of participants helping robots “learn” how to interact with the world. Your goal is to ensure we hit our weekly footage targets while maintaining 100% compliance with data quality standards.
This isn’t just a standard operations role; you are building the foundation for the future of robotics. You will manage a truly global operation that bridges the gap between high-volume data collection and high-level AI research.
Day in the Life
Team Management & Leadership
- Lead and mentor a large, distributed team of Video Data Contributors and potentially a small team of Team Leads or Quality Auditors.
- Conduct weekly “Office Hours” and Q&A sessions to troubleshoot contributor issues and provide feedback on recording techniques.
- Monitor contributor engagement and retention, implementing strategies to reduce churn in a month-to-month contract environment.
High-Volume Recruitment & Onboarding
- Collaborate with the Recruiting team as they manage the top-of-funnel screening; you will provide the technical criteria to help them identify candidates with the right hardware and attention to detail.
- Partner with People Ops to facilitate a seamless onboarding transition, ensuring that once hired, contributors complete onboarding and are immediately integrated into your filming and data protocols.
- Coordinate with the Recruiting team on the verification of equipment (head-straps and camera specs) to ensure every new participant is project-ready.
Data Quality & Feedback Loop
- Quality Assurance: Lead a team of reviewers to audit footage for “usability” (hand/arm movement vs. idle activities).
- Continuous Improvement: Update the “Guidelines Presentation” and training materials based on common failure points in the footage (e.g., poor lighting or incorrect camera angles).
- Technical Troubleshooting: Act as the final escalation point for hardware compatibility issues or Google Drive upload failures.
Financial & Compliance Oversight
- Manage the complex tiered compensation structure (initial period vs. subsequent approved footage) and bonus payouts.
- Partner with Finance/Payroll to ensure all monthly payments via Deel are accurate and submitted within payout cycles.
- Ensure strict adherence to data privacy and compliance guidelines, ensuring no personal information is captured in the uploaded data.
Who You Are
- Management: 6+ years in Operations Management, specifically leading distributed or “gig” workforces.
- Global Operations: Experience managing teams across the Philippines and the US, including understanding the cultural and logistical differences in both markets.
- Analytical Mindset: Ability to look at “Unusable Footage” data and pinpoint exactly where the training or the recruitment filter is failing.
Preferred Qualifications
- Experience in AI Data Labeling or Computer Vision data collection.
- Experience with hardware logistics (inventorying and shipping head-straps or smartphones).
- A background in BPO Management or Marketplace Operations (e.g., Uber, DoorDash, TaskRabbit).
Know More About Workstream
- https://www.workstream.us/blog/funding-series-b
- https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
- https://techbuzz.news/buzzworthy-august-27-2021/
Additional Information
Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.
