SQL Team Lead

SME Careers is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. In this role, you will oversee quality, consistency, and trainer performance across SQL and database AI training projects, ensuring that SQL training data is accurate and aligned with client expectations.

Responsibilities:

• Spot-check SQL/database items, identify issues, provide feedback through DMs, and escalate recurring or critical issues
• Review AI-generated SQL queries, database explanations, schema reasoning, analytics workflows, and optimization recommendations
• Update trainers/QAs on Discord about guidelines, workflow updates, and SQL-specific quality expectations
• Respond to questions around joins, aggregations, window functions, query dialects, schema design, performance, security, and rubric interpretation
• DM inactive contributors, encourage activation, track follow-ups, and flag availability issues
• Create and maintain SQL documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials
• Run onboarding/training calls for SQL contributors
• Flag misleading, non-executable, inefficient, insecure, or dialect-incompatible SQL recommendations
• Identify recurring quality gaps and improve SQL QA workflows