Senior SQL Engineer

As a Senior SQL Engineer, you will work remotely on an hourly paid basis to review AI-generated SQL queries, database designs, and data-processing logic, as well as generate high-quality reference solutions and explanations for complex data problems. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology, query structure, indexing strategy, or conceptual understanding; fact-check data-related claims; write clear, step-by-step explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness, performance, and reasoning quality. This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your SQL and database engineering expertise will directly contribute to improving the world’s premier AI models used across industries.

### Your Profile
- Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, Mathematics, or a closely related technical field.
- 7+ years of professional experience working with SQL in production environments as a Database Engineer, SQL Developer, Data Engineer, or similar role.
- Expert-level proficiency in SQL, including complex joins, window functions, aggregation strategies, and query plan analysis.
- Demonstrated experience with database performance tuning, indexing strategies, and troubleshooting concurrency or locking issues.
- Hands-on experience designing relational data models, schemas, and data warehouse structures (star and snowflake schemas).
- Strong experience with ETL/ELT processes and tooling, as well as working with large-scale data in modern cloud or on-prem data platforms.
- Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
- Comfort with version control, CI/CD practices, and collaborative workflows for managing database changes.
- Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
- Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle data or query issues.

### Key Responsibilities
- Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

🌍 Geographic Availability
This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.

💰 Pay Rate May Vary Based on Your Location
Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.

If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.