SQL & Analytics Engineer Expert (English)

Create realistic analytics examples and evaluate how well AI models write and reason about SQL.

• Build scenarios from raw tables through tested data models.
• Write reference answers and explain the modeling and query choices behind them.
• Grade model output for SQL correctness and warehouse efficiency.
• Flag queries that look clear but produce incorrect or expensive results.

What it pays and takes

• Pay: $60 to $100 per hour.
• Time: Commit at least 20 hours per week.
• Location: Remote, open to candidates in eligible countries for this role.
• Language: Fluent in English, including clear written explanations of data-modeling decisions.
• Requirements: Expert SQL skills, including joins, window functions, common table expressions (CTEs), and query optimization; hands-on experience with BigQuery, Snowflake, Redshift, or another modern data warehouse.
• Helpful experience: dbt or a similar transformation framework, dimensional or semantic data modeling, and orchestration tools such as Airflow or Dagster.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses examples created and reviewed by people to help models learn. SQL experts contribute by creating realistic data tasks and judging whether model answers are correct and efficient.