SQL QA Lead - Remote

About This RolebrAls u overweegt een sollicitatie te sturen, zorg er dan voor dat u op de sollicitatieknop hieronder klikt na het lezen van de gehele omschrijving.brpIn 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. 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. You will 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. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role is a fast‑growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation‑model labs. Your SQL quality leadership will directly help improve the world’s premier AI models by ensuring that SQL training data is accurate, executable, logically sound, well‑documented, and aligned with client expectations. /pbrJob DescriptionbrpbJob Title: /b SQL Quality Assurance Lead /pbrpbJob Type: /b Contract /pbrpbLocation: /b Remote /pbrpSelection process involves an AI interview, a domain‑specific task, and an interview with a recruiter. Important: There is 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. /pbrYour Profilebrullibr/liliBachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Business Analytics, or equivalent professional experience.br/liliStrong grasp of the English language to follow project guidelines, communicate with teams, and provide clear technical feedback.br/lili3+ years of experience using SQL for analytics, backend development, database engineering, BI, data warehousing, reporting, QA, teaching, or technical review.br/liliStrong understanding of SQL fundamentals such as SELECT, WHERE, JOINs, GROUP BY, HAVING, ORDER BY, subqueries, CTEs, window functions, indexes, constraints, transactions, and normalization.br/liliAbility 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.br/liliFamiliarity with PostgreSQL, MySQL, SQL Server, SQLite, BigQuery, Snowflake, Redshift, data warehouses, query plans, ER modeling, and BI tools is preferred.br/liliExperience leading or supporting remote teams of analysts, engineers, reviewers, annotators, educators, or QAs is strongly preferred.br/liliComfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.br/liliHighly organized and able to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation.br/liliExperience with AI training, data annotation, LLM evaluation, SQL QA, code review, or rubric‑based technical review is a strong plus.br/li /ulbrKey Responsibilitiesbrullibr/liliSpot‑check SQL/database items, identify issues, provide feedback through DMs, and escape recurring or critical issues.br/liliReview AI‑generated SQL queries, database explanations, schema reasoning, analytics workflows, and optimization recommendations.br/liliUpdate trainers/QAs on Discord about guidelines, workflow updates, and SQL‑specific quality expectations.br/liliRespond to questions around joins, aggregations, window functions, query dialects, schema design, performance, security, and rubric interpretation.br/liliDM inactive contributors, encourage activation, track follow‑ups, and flag availability issues.br/liliCreate and maintain SQL documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials.br/liliRun onboarding/training calls for SQL contributors.br/liliFlag misleading, non‑executable, inefficient, insecure, or dialect‑incompatible SQL recommendations.br/liliIdentify recurring quality gaps and improve SQL QA workflows. xgiwjmb br/li /ulbrThuiswerkmogelijkheden zijn beschikbaar voor deze functie.