SQL QA Lead - Remote

About the role

In this hourly, remote contractor role, you will work as a SQL Quality Assurance Lead to oversee quality, consistency, and trainer performance across SQL and database AI training projects.

Responsibilities

• Review AI-generated SQL queries, database explanations, data-modeling content, and trainer/QA work; evaluate output quality against project guidelines;
• Provide precise written feedback;
• Ensure that all contributors follow the expected quality standards;
• Audit work for query correctness, database reasoning, schema understanding, join logic, aggregation accuracy, performance awareness, security awareness, readability, formatting, instruction-following, and adherence to project-specific rubrics;
• Spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Business Analytics, or equivalent professional experience.
• 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.
• Strong understanding of SQL fundamentals such as SELECT, WHERE, JOINs, GROUP BY, HAVING, ORDER BY, subqueries, CTEs, window functions, indexes, constraints, transactions, and normalization.
• 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.
• Highly organized and able to 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.