SQL Quality Assurance Lead for AI Training Data
Overview
This remote contract role acts as a SQL Quality Assurance Lead for AI training data projects, safeguarding accuracy and consistency across SQL and database content. You will review AI-generated SQL queries, database explanations, and schema reasoning, delivering precise, rubric-aligned feedback. You’ll coordinate with remote trainers and QAs, update Discord guidelines, and maintain onboarding material to support calibration and knowledge sharing. This position sits within SME Careers' expert network, offering future contract opportunities even when there isn’t an active project today.
What You'll Do9
- 1Spot-check SQL and database work, identify issues, and deliver written feedback to contributors via direct messages.
- 2Review AI-generated SQL queries, database explanations, and analytics workflows against project rubrics.
- 3Update trainers and QAs on guidelines, workflow changes, and SQL quality expectations on Discord.
- 4Answer questions about joins, aggregations, window functions, dialects, schema design, performance, and security.
- 5Directly message inactive contributors to re-engage participation, track follow-ups, and flag availability concerns.
- 6Create and maintain SQL documentation, style guides, trackers, FAQs, onboarding materials, and calibration tasks.
- 7Lead onboarding or training sessions for SQL contributors.
- 8Flag non-executable, inefficient, insecure, or dialect-incompatible SQL recommendations.
- 9Identify recurring quality gaps and propose improvements to SQL QA workflows.
Requirements9
- 1Bachelor’s or Master’s degree in computer science, data science, information systems, software engineering, statistics, business analytics, or equivalent professional experience.
- 23+ years of experience using SQL for analytics, backend development, data warehousing, BI, reporting, QA, teaching, or technical review.
- 3Strong understanding of SQL fundamentals including SELECT, JOINs, GROUP BY, HAVING, ORDER BY, subqueries, CTEs, window functions, indexes, constraints, transactions, and normalization.
- 4Ability to evaluate SQL content against rubrics and identify issues such as incorrect joins, aggregation errors, duplicate counting, syntax problems, or insecure patterns.
- 5Familiarity with PostgreSQL, MySQL, SQL Server, SQLite, BigQuery, Snowflake, Redshift, data warehouses, query plans, ER modeling, and BI tools is preferred.
- 6Experience leading or supporting remote teams of analysts, reviewers, annotators, educators, or QAs is strongly preferred.
- 7Comfort with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project-management tools.
- 8Highly organized with ability to maintain style guides, FAQs, onboarding materials, honeypots, calibration tasks, and documentation.
- 9Experience with AI training, data annotation, LLM evaluation, SQL QA, code review, or rubric-based technical review is a strong plus.
Who Should Apply
Ideal candidates bring hands-on SQL QA experience and a track record of rubric-based evaluation for database content. You should excel at delivering precise feedback and coordinating with distributed teams of analysts and trainers. This contract role suits someone who thrives in asynchronous, remote collaboration and values clear documentation. It may be less suitable for applicants seeking immediate, ongoing project work or those who are uncomfortable with remote workflow tools and rubric-driven review processes.
Salary Insight
Hourly rate: $70/hr. This compensation aligns with mid-senior SQL QA leadership in a remote contractor role and reflects the specialized nature of AI training data work.
Location
Required Skills
Application Tip
Show a concise example of rubric-based QA you applied to an AI-generated SQL item, including before/after feedback and the measurable impact on query correctness or clarity.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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