Coding Expert - SQL
SWE - SQL (Contract) Labelbox Remote (United States preferred) Shape the data that powers frontier AI Quick facts Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min. 15 hrs/week)- Pay Range (US) $25 – $100 per hour- Start Date - Rolling — staffed as projects launch What you’ll do Evaluate AI-generated SQL queries for accuracy, performance, and best practices.- Write SQL queries across a range of relational database systems.- Explain your approach and highlight reasoning in plain English.- Flag common errors in joins, filters, aggregations, or schema assumptions. You’re a great fit if Fluent in English with clear analytical thinking. Expertise in SQL: Proficient in writing complex queries, understanding indexing, and normalizing databases. 3-5 years of experience with databases such as MySQL, PostgreSQL, SQL Server, or Oracle is a plus.- Bachelor’s degree (or pursuing one) in Computer Science, Data Science, or related field.- Bonus: Experience with data labeling, RLHF, or other AI training projects About the role Flexible workload — work from anywhere, on your own schedule - High impact — your craft directly improves models used by top AI labs & Fortune 500 teams - Clear ownership — know exactly what success looks like and have autonomy to deliver - Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs Interview process Complete a screening with Zara , our AI interviewer in English, to learn more about your background and experience.- Domain-specific Zara interview to assess your SQL expertise, including performance optimization (indexing, query plans), data modeling, and advanced SQL features like window functions, CTEs, and transaction management. About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. Ready to Apply? Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.