SQL QA Lead - Remote

About the role

This is an hourly, remote contractor role as a SQL Quality Assurance Lead. The role involves overseeing quality, consistency, and trainer performance across SQL and database AI training projects. You will review AI-generated SQL queries, database explanations, data-modeling content, and trainer/QA work; evaluate output quality against project guidelines; provide precise written feedback; and ensure that all contributors follow the expected quality standards.

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.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Business Analytics, or equivalent professional experience.
• A strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear technical feedback.
• 3+ years of experience using SQL for analytics, backend development, database engineering, BI, data warehousing, reporting, QA, teaching, or technical review.
• A strong understanding of SQL fundamentals such as SELECT, WHERE, JOINs, GROUP BY, HAVING, ORDER BY, subqueries, CTEs, window functions, indexes, constraints, transactions, and normalization.
• The ability to evaluate SQL content against rubrics and identify issues such as incorrect joins, aggregation errors, duplicate counting, invalid syntax, inefficient queries, SQL injection risks, dialect mismatches, or incomplete explanations.
• Familiarity with PostgreSQL, MySQL, SQL Server, SQLite, BigQuery, Snowflake, Redshift, data warehouses, query plans, ER modeling, and BI tools is preferred.
• Experience leading or supporting remote teams of analysts, engineers, reviewers, annotators, educators, or QAs is strongly preferred.
• Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.
• A highly organized individual who can maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation.
• Experience with AI training, data annotation, LLM evaluation, SQL QA, code review, or rubric-based technical review is a strong plus.

Qualifications

• No immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise.
• This will also provide you with access to future projects available through our expert network.