Quality Assurance (QA) Specialist - College Football
Job Description
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CloudFactory is looking for college football enthusiasts with exceptional attention to detail to support a short-term Quality Assurance (QA) project.
In this role, you will review annotated college football images and video clips to ensure the work is accurate, consistent, and aligned with project guidelines. You’ll identify errors or inconsistencies and provide clear, actionable feedback where corrections are needed.
This opportunity is ideal for someone who knows college football well, enjoys analyzing the game, and can apply that knowledge with a high degree of accuracy and consistency.
What you'll do
- Review annotations across college football images and video clips for accuracy and consistency.
- Identify incorrect, incomplete, or inconsistent annotations.
- Apply project guidelines and your knowledge of college football when evaluating work.
- Provide clear and actionable feedback on errors and required corrections.
- Maintain a high standard of quality and attention to detail throughout the project.
- Flag recurring issues or unclear cases for further review.
Requirements
- Strong knowledge of college football, including gameplay, rules, positions, formations, and common terminology.
- Genuine interest in and enthusiasm for college football.
- Exceptional attention to detail and ability to identify subtle errors or inconsistencies.
- Strong critical thinking and judgment.
- Ability to follow detailed guidelines and apply them consistently.
- Clear written communication skills for documenting issues and providing feedback.
- Ability to work independently in a remote environment.
- Reliable access to a computer and stable internet connection.
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CloudFactory
View Company ProfileCloudFactory is a premier, enterprise-grade human-in-the-loop (HITL) AI data platform powerhouse engineered to orchestrate massive-scale data-annotation ecosystems and intelligent, frictionless machine-learning workflows. Operating as a bridge between AI model development and real-world performance, the company eliminates the operational friction of traditional, manual data-labeling models—which frequently suffer from quality-control bottlenecks, opaque edge-case handling, and fragmented workforce management—by seamlessly deploying advanced AI-assisted annotation telemetry, rigorous human-expert validation architectures, and cohesive cross-lifecycle model-monitoring frameworks. Moving beyond rigid legacy data-labeling paradigms, CloudFactory empowers global AI leaders to dynamically synchronize their computer vision, NLP, and RLHF pipelines with elite, scalable, and audit-ready execution. Under the hood, their sophisticated proprietary operational infrastructure—bolstered by a global workforce of 7,000+ expert data analysts—natively manages complex global multi-region data ingestion, instantaneous automated quality-routing, and compliance-hardened security workflows, providing the necessary operational foundation for the modern, high-velocity AI-driven economy. What sets CloudFactory apart is its uncompromising dedication to frictionless operational-orchestration; by bridging the gap between highly technical, performance-intensive AI-training demands and scalable, accessible human-intelligence interfaces, the firm empowers modern engineering organizations to radically accelerate their model-deployment velocity, eliminate systemic quality-bottlenecks, and build an unassailable foundation for continuous commercial and institutional dominance in the modern, AI-transformed global-technology landscape.
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