Vendor Operations Manager – Safety Labeling
About The Position
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox, we are looking for a Senior Vendor Operations Manager for Safety Labeling to bridge the gap between human intuition and machine learning. You will manage the vendor ecosystem responsible for generating the high-quality ground truth data that powers our safety models. Reporting to the Senior Manager of Vendor Operations, you’ll ensure our BPO partners translate complex safety policies into precise, scalable labels that keep our community safe.
Requirements
- Expertise in Data Labeling: 6+ years in Ops/Trust & Safety, with a proven track record managing large-scale vendor teams focused on data annotation or RLHF.
- Analytical Engine: Experience using data (SQL, Looker, or similar) to identify quality drift and operational bottlenecks.
- Cross-Functional Fluency: The ability to move seamlessly between technical ML requirements and nuanced Policy discussions.
- Operational Grit: A high tolerance for the complexity and emotional intensity of managing teams exposed to sensitive or high-risk content.
Responsibilities
- Lead Labeling Operations: Manage day-to-day vendor execution for safety labeling (RLHF and Ground Truth), ensuring accuracy, policy alignment, and clinical precision.
- Optimize Data Quality: Implement rigorous quality frameworks—including Inter-Rater Reliability (IRR) and "Gold Standard" audits—to eliminate labeling bias.
- Scale the Pipeline: Partner with AI/ML Engineering and Policy to transform abstract guidelines into executable labeling handbooks and efficient workflows.
- Drive Vendor Performance: Own the operational roadmap, unit costs, and capacity planning for specialized labeling workforces globally.
- Ensure Resilience: Maintain business continuity and site redundancy plans to protect our data labeling pipelines from disruption.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
