Scale AI Quality Lead at Scale AI to lead a team ensuring data quality for Generative AI programs. Responsible for managing quality control operations, interpreting customer requirements, and driving quality improvements.
Responsibilities
Lead and grow a team of quality specialists - hire, coach and calibrate this team of specialists.
Turn unclear customer requirements into clear standards - work with delivery teams to interpret and improve customer requirements, and then turn that into measurable signals of data quality.
Run the quality system. Own the daily operation: plan and allocate workforce capacity, produce quality reporting, measure productivity and efficiency, and drive quality control policies.
Analyzing quality trends. Identify, root-cause, and elevate defect patterns that delivery teams can take action on.
Build the future of QC. Our team already leverages agentic capabilities, but you will help decide and lead what gets built next to continue to scale and optimize our quality operations.
Ideally you’d have
A Bachelor’s degree in Computer Science, Engineering, Operations, or a related field.
3+ years leading teams or scaling large operational/technical processes.
Strong analytical and problem-solving skills (particularly in SQL) with attention to detail.
Experience building systems, processes, and teams across multiple customer segments or product lines.
A hands-on background in product management, operations management, program management, or top-tier management consulting.
Proven experience taking initiative in cross-functional technical environments.
Qualification
Bachelor’s degree in Computer ScienceExperience building systemsMaster’s degree in Computer ScienceExperience in AI/ML servicesExperience in a fast-growing
Required
Bachelor’s degree in Computer Science, Engineering, Operations, or related field
3+ years leading teams or scaling large operational/technical processes
Strong analytical and problem-solving skills, particularly in SQL
Experience building systems, processes, and teams across multiple customer segments or product lines
Hands-on background in product management, operations management, program management, or management consulting
Proven experience taking initiative in cross-functional technical environments
Preferred
Master’s degree in Computer Science, Engineering, Operations, or a related field.
Experience in AI/ML services, data annotation or model evaluation.
Experience in a fast-growing, less-structured startup environment.
