Zoomph
AI Quality Program Manager
United States
Sponsorship not specifiedDetected 38 days ago
AWSCloud PlatformsMachine LearningData ScienceComputer VisionAccount ManagementCustomer SuccessCommunicationCollaboration
About the role
- Zoomph operates Computer Vision workloads for sponsorship tracking.
- This role is responsible for managing such workstreams end-to-end.
- This includes interfacing with internal stakeholders to understand data labeling priorities, translating those priorities into actionable tasks for the workforce, and ensuring timely, high-quality output.
Requirements
- Bachelor's degree in Business, Data Science, Artificial Intelligence, Computer Science, or a related technical field
- 3-5 years of experience in AI Operations, data management, or program management roles with a focus on AI model training, deployment, or workload management.
Skills
- ability to juggle multiple workstreams and priorities simultaneously
- Clear, professional written communication for both internal stakeholders and workforce teams
- Familiarity with data labeling concepts, annotation workflows, and quality assurance processes
- Comfort working with cloud platforms or willingness to learn
- Hands-on experience with AWS Ground Truth or similar labeling platforms (Scale AI, Labelbox, etc.)
- Background in computer vision, media monitoring, or sports/sponsorship analytics
- Experience working with Eastern European teams or across time zones
- Understanding of AI/ML pipelines and where human review fits within them
- identify which tasks need to be completed, which brands are in scope, and what the acceptance criteria are.
- Use internal agents and on-demand tools to analyze client workloads
- Translate business-level requirements into clear, actionable task briefs for the moderation and HITL workforces.
- Provide status updates and estimated completion timelines back to Account Management and CS stakeholders.
Benefits
- To ensure accuracy and data quality, human workforce programs support the AI pipeline to review missed logos and false positives from Computer Vision, and to manage human-in-the-loop labeling jobs.
- Engineering / AI / Data Teams - coordination on Computer Vision AI improvements, pipeline behavior, edge cases, and tooling
Visa & Work Authorization
- Zoomph operates Computer Vision workloads for sponsorship tracking.
This listing is sourced directly from Zoomph's careers page and normalized into a canonical job model.