Director Of AI Quality

Director of AI Data Quality

About Invisible:

Invisible Technologies is dedicated to fusing human creativity and intuition with cutting-edge technology to create a future rich in impact and meaning. We firmly believe that human involvement is essential in unlocking the full potential of AI, ensuring it is developed with greater accuracy, quality, safety, reliability, and fairness. This people-first approach underpins our unique process orchestration engine, a platform that merges artificial and human intelligence with automation to remove operational bottlenecks and pave the way for growth and innovation in our clients.

Key Responsibilities:

As the Director of AI Data Quality, you will lead and accelerate our AI training and enablement efforts across key enterprise relationships. Partnering with leading companies, including some of the world’s top AI researchers, you will own, build, and strengthen client relationships by fundamentally owning the quality assurance processes. This entails ensuring the highest standards of data quality are maintained throughout our AI training endeavors, driving excellence and innovation in every aspect of our operations.

Together, you will refine and champion excellence in expert training processes and deploy cutting-edge operations and best practices across enterprise companies. Constantly innovating, you will iterate on AI training methods to ensure the evolution of client AI models through human-generated data. Your primary responsibilities include:

Tracking Patterns and Updating Best Practices: Monitor patterns in AI data quality assessment and measurement, updating best practices accordingly. Disseminate new learnings to teams to ensure consistency across projects.Generating Standardized Documentation: Develop standardized documentation for AI data quality processes, ensuring clarity and consistency in quality assessment methodologies.Communication, Reporting, and Cross-Cutting: Foster effective communication channels for reporting on AI data quality metrics. Collaborate cross-functionally to address overarching quality issues and streamline processes.Strategic Client Relationship Management: Partner with researchers and managers working with clients to define needs, map processes, and ensure alignment with client goals. Manage strategic client accounts, including tech giants and multiple mid-sized companies to customize our efforts to their needs.Complex Operations & Team Management: Facilitate dissemination to an operations team of hundreds, including Operations Managers, Operations Analysts, and AI trainers. Oversee hiring, staffing, and development, ensuring exceptional performance above internal and external KPI expectations.Systems Thinking: Identify areas for process improvement and efficiency gains, implementing solutions to critical issues. Collaborate with product managers to develop new technologies and frameworks to enhance operations.Business Ownership: Develop strategies to …