Remote SQL Engineer for AI Data QA & Optimization

SME Careers; Metro Manila; Remote; PHP 4,387,000 - 7,897,000; Part time

Job summary

SME Careers in a fully remote hourly contractor role seeks an experienced SQL Engineer to review AI-generated SQL queries, database designs, and data-processing logic, and to generate high-quality reference solutions and explanations for complex data problems.

You will assess solutions for accuracy, clarity, and adherence to prompts; identify errors in methodology, query structure, indexing, or conceptual understanding; and write clear step-by-step explanations and model solutions.

Qualifications

• Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, Mathematics, or closely related field.
• 7+ years of professional experience using SQL in production environments as a Database Engineer, SQL Developer, Data Engineer, or similar role.
• Expert-level SQL proficiency with complex joins, window functions, aggregation, and query plan analysis.
• Experience with database performance tuning, indexing, and troubleshooting concurrency issues.
• Hands-on data modeling experience including star/snowflake schemas and data warehouses.
• Experience with ETL/ELT processes and modern cloud or on-prem data platforms.
• Minimum C1 English proficiency (written and spoken).
• Familiarity with version control, CI/CD, and collaborative db-change workflows.

Responsibilities

• Develop AI Training Content: create prompts and responses to guide AI learning.
• Optimize AI Performance: evaluate AI responses for accuracy, fluency, and relevance.
• Ensure Model Integrity: test models for inaccuracies or biases and validate reliability.

Skills

SQL Expert

Data Modeling

Performance Tuning

CI/CD knowledge

English Proficiency

Education

Bachelor's or higher in CS/Engineering/Math

Tools

Query Plan Analysis

Indexing Strategies

ETL/ELT Tools

Job description

SME Careers in a fully remote hourly contractor role seeks an experienced SQL Engineer to review AI-generated SQL queries, database designs, and data-processing logic, and to generate high-quality reference solutions and explanations for complex data problems.

You will assess solutions for accuracy, clarity, and adherence to prompts; identify errors in methodology, query structure, indexing, or conceptual understanding; and write clear step-by-step explanations and model solutions.