SQL QA Lead - Remote

YO IT Consulting; München; Vor Ort; EUR 82.656 - 123.984; Teilzeit

Zusammenfassung

YO IT Consulting is seeking a SQL Quality Assurance Lead for an hourly, remote contractor role to oversee quality across SQL and database training projects. You will review AI-generated queries, explanations, and data models, provide precise feedback, and ensure adherence to client guidelines.

You will spot issues, mentor trainers and QAs, maintain documentation, and help onboarding. This role suits someone with strong SQL fundamentals, experience guiding remote teams, and a disciplined approach

Qualifikationen

• Bachelor’s or Master’s degree in CS, data science or related field.
• 3+ years of experience using SQL for analytics and QA.
• Strong English language skills to follow guidelines and provide feedback.
• Experience leading or supporting remote teams of analysts or QAs.

Aufgaben

• Spot-check SQL/database items, provide feedback, and escalate issues.
• Review AI-generated SQL queries, explanations, and schema reasoning.
• Update trainers/QAs on guidelines and quality expectations on Discord.
• Respond to questions around joins, aggregations, and dialects.
• DM inactive contributors, track follow-ups, and flag availability.
• Create and maintain SQL documentation, style guides, and onboarding materials.
• Run onboarding/training calls for SQL contributors.
• Flag non-executable or insecure SQL recommendations.
• Identify recurring quality gaps and improve QA workflows.

Kenntnisse

SQL analytics

QA leadership

Remote team experience

Database knowledge

Rubric-based review

Documentation

English communication

Data warehousing basics

Ausbildung

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Business Analytics, or equivalent

Tools

Discord

Google Sheets

Google Docs

GitHub

Project management systems

Jobbeschreibung

About This 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. 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 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 part of 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. Selection process involves an AI interview, a domain‑specific task, and an interview with a recruiter. 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 and you will have access to future projects through our expert network.

Your Profile

• 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.

Key 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.