Analytics engineers who live in dbt, BigQuery, and Snowflake to build the SQL scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
Database & SQL Expert
Job description
Apply database and SQL expertise to AI training — validate query and schema content, annotate data-engineering examples, and improve technical AI models.
Role details
- Domain: Technology
- Experience level: Senior
- Required expertise: SQL, Query Optimization, Data Modeling, Database Administration
- Location: Fully remote
Responsibilities
- Review and annotate databases and SQL content and case material
- Validate AI-generated databases and SQL outputs for accuracy
- Create high-quality databases and SQL training examples
- Flag errors, gaps, and edge cases in AI databases and SQL outputs
Requirements
- 5+ years professional database engineering experience
- 5+ years of professional or research experience
- Demonstrated deep knowledge of SQL, schema design, and optimization
- Strong written English
Benefits
- Fully remote with flexible hours
- Direct impact on databases and SQL AI accuracy
- Reliable, on-time payments
Pasiflora AI is an expert network that contracts specialists to review, annotate and validate AI training data in their own field. Screening steps, task volume, time commitment and payment terms are shown on the Pasiflora application page — apply on pasifloraai.com.
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