SQL QA Lead - Remote

About the role

This is an hourly, remote contractor role where you will 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
• Assess 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

Skills

• SQL
• Data analysis
• Database engineering
• BI
• Data warehousing
• Reporting
• QA
• Technical review
• AI training
• Data annotation
• LLM evaluation
• Code review

Benefits

• Remote work flexibility
• Opportunities to work on cutting-edge AI projects
• Access to a network of expert contributors

Pay

Hourly rate based on experience and qualifications

Schedule

Flexible schedule to accommodate remote work