SQL Engineer, AI Query Evaluation

The Work

You will evaluate AI-generated SQL queries, database designs, and data-processing logic. Your reviews will help assess whether technical answers are correct, clear, well reasoned, and aligned with the prompt.

You will also create reference solutions and explanations for difficult SQL and database problems, fact-check data-related claims, and compare multiple AI responses.

  • Review SQL queries, database designs, and data-processing logic created by AI.
  • Find problems in methodology, query structure, indexing, performance, and conceptual reasoning.
  • Fact-check data-related claims and assess correctness, clarity, and performance.
  • Write detailed reference solutions and step-by-step explanations.
  • Rate and compare AI responses based on correctness and reasoning quality.
  • Apply SQL and database engineering expertise to AI training work.

What It Pays and Takes

This is a remote contractor role for an expert-level SQL professional. The work requires clear technical communication in English and the ability to explain complex reasoning in writing and speech.

  • Pay: $50 per hour.
  • Time: 20+ hours per week.
  • Work setup: Remote, part-time contractor work.
  • Location: Open to qualified contractors in Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, the United States, Timor-Leste, and Vietnam.
  • Language: Fluent English.
  • Experience: Expert-level SQL and database engineering experience.
  • Education: Bachelor's degree or higher in a related technical field.
  • SQL skills: Complex joins, window functions, aggregation, and query plan analysis.
  • Database skills: Performance tuning, indexing, concurrency or locking issues, relational models, schemas, and data warehouses.
  • Data platform skills: Strong ETL or ELT experience with cloud or on-premises data platforms.
  • Workflow skills: Version control, CI/CD practices, and collaborative database workflows.
  • Helpful experience: Star and snowflake schema design, database changes and migrations, backup and recovery planning, and monitoring.
  • A methodical approach to finding subtle data and query issues is important.
  • Prior experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.

How It Works

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

About AI Training Work

OpenTrain is a platform where people find AI training and data-labeling projects, build a profile, and apply. AI training is the human work behind AI systems, including reviewing model answers, checking technical content, and writing examples that help models improve.

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