SQL QA Lead - Remote

YO IT Consulting; Finland; On-site; EUR 50,000 - 75,000; Part time

Job summary

YO IT Consulting is seeking a SQL Quality Assurance Lead for a remote contractor role overseeing SQL quality across AI training projects. Ideal candidates will have a Bachelor’s or Master’s in Computer Science with over 3 years of SQL experience.

Responsibilities include reviewing AI-generated SQL queries, identifying quality issues, and maintaining comprehensive documentation. This position is critical for enhancing AI models by ensuring the accuracy of SQL training data.

Qualifications

• 3+ years of experience using SQL for analytics, reporting, or QA.
• Strong grasp of SQL fundamentals and optimization techniques.
• Experience leading remote teams or contributing to quality assurance.

Responsibilities

• Review AI-generated SQL queries and database explanations.
• Provide feedback and identify SQL issues.
• Create and maintain documentation and style guides.

Skills

SQL for analytics

Data Analysis

Database Engineering

Communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

PostgreSQL

MySQL

SQL Server

SQLite

BigQuery

Snowflake

Redshift

Job description

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 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.

Job Description

Job Title: SQL Quality Assurance Lead

Job Type: Contract

Location: Remote

Selection 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.

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 escape 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.