Scaleai
Quality Operations Lead, Gen AI
San Francisco, CA; New York, NY. Posted 8 days ago
The role
You will lead a large team of quality control specialists to measure and improve quality for Generative AI programs. You will manage daily operations, analyze quality trends, and turn customer requirements into measurable standards.
What you will do
- Lead and grow a team of quality specialists by hiring, coaching and calibrating them
- Turn unclear customer requirements into clear standards
- Run the quality system including workforce capacity, quality reporting, and productivity measurement
- Drive quality control policies
- Identify, root-cause, and elevate defect patterns
- Decide and lead what gets built next to scale and optimize quality operations
Required qualifications
- 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)
- Attention to detail
- Experience building systems, processes, and teams across multiple customer segments or product lines
- Hands-on background in product management, operations management, program management, or top-tier management consulting
- Proven experience taking initiative in cross-functional technical environments
Nice to have
- 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
- Experience building teams from the ground up
Benefits
- Base salary
- Equity
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
Before you apply
- 90-day waiting period before reconsidering candidates for the same role
About the company
Scale's mission is to develop reliable AI systems for the world's most important decisions. Their products provide high-quality data and full-stack technologies that power leading models for enterprises and governments.