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Junior MySQL Database Administrator

hiredbuddy • United State
Remote
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AI Summary

Join our remote technical team as a Junior MySQL Database Administrator to work on AI model training, evaluation, and benchmark creation. You will design complex SQL queries, evaluate AI-generated MySQL statements, and validate query execution performance. Strong hands-on knowledge of MySQL and SQL query crafting are required.

Key Highlights
Design complex SQL queries
Evaluate AI-generated MySQL statements
Validate query execution performance
Key Responsibilities
Create 'Golden' SQL Queries & Schemas
Evaluate & Benchmark AI Queries
Identify & Correct AI Errors
Simulate Real-World DBA Tasks
Maintain Dataset Integrity
Technical Skills Required
MySQL SQL Database Administration
Benefits & Perks
100% Remote
Flexible working hours and asynchronous team culture
Direct hands-on exposure to how enterprise LLMs and Text-to-SQL models are trained and benchmarked
Nice to Have
Python
Node.js
PostgreSQL
NoSQL databases
Database GUI clients

Job Description


About Us

At HiredBuddy, we power next-generation artificial intelligence. We specialize in high-quality AI data labeling, annotation, query evaluation, and training pipelines that enable leading tech companies to build smarter, safer, and more reliable AI models.

We are looking for a detail-oriented Junior Database Administrator (MySQL) to join our remote technical team. In this role, you will apply your SQL and database management skills directly to the fast-evolving field of Text-to-SQL and relational database AI model training.

Role Overview

This is a 100% remote technical role, but it is not a standard database maintenance or ops-only job. You will be working directly on the front lines of AI model training, evaluation, and benchmark creation.

As a Junior MySQL DBA at HiredBuddy, your core responsibility will be generating complex SQL queries, evaluating AI-generated MySQL statements, designing mock database schemas, and validating query execution performance to train Large Language Models (LLMs) on database administration and querying.

Key Responsibilities

  • Create "Golden" SQL Queries & Schemas: Design realistic MySQL database schemas (DDL) and write complex, optimized SQL queries (DML/DQL) to serve as ground-truth dataset references for Text-to-SQL AI models.
  • Evaluate & Benchmark AI Queries: Review, execute, and score AI-generated MySQL code for syntax accuracy, execution efficiency, index usage, and proper join logic.
  • Identify & Correct AI Errors: Spot edge cases, syntax bugs, Cartesian products, subquery inefficiencies, or hallucinated table/column names in AI outputs, rewrite the queries, and document why the correction was needed.
  • Simulate Real-World DBA Tasks: Draft realistic administrative scenarios including index optimization, user privilege management, table backup/restore commands, and schema migrations for AI prompt evaluation.
  • Maintain Dataset Integrity: Validate mock datasets (CSV/JSON/SQL dumps) to ensure clean execution environments for testing model outputs against live MySQL instances.

What We’re Looking For

  • MySQL Core Proficiency: Strong hands-on knowledge of MySQL (8.0+), relational database concepts, indexing strategies, constraints, transaction isolation, and JOIN operations.
  • SQL Query Crafting: Ability to write and optimize multi-table queries, subqueries, aggregation (GROUP BY, window functions), and basic stored procedures.
  • DBA Fundamentals: Basic understanding of MySQL administration tasks like schema design, user management, backup/restore (mysqldump), and query execution plan analysis (EXPLAIN).
  • Analytical & Critical Thinking: Ability to quickly analyze query execution plans, catch subtle logic flaws, and explain complex technical errors in clear, plain written English.
  • Remote Work Readiness: Self-motivated, disciplined, and comfortable working asynchronously using communication tools like Slack, GitHub, and ticketing platforms.

Nice-to-Haves

  • Basic scripting knowledge in Python or Node.js to automate schema seeding and query testing workflows.
  • Familiarity with other relational databases (PostgreSQL) or NoSQL databases.
  • Experience with database GUI clients (DBeaver, MySQL Workbench, DataGrip).
  • Previous exposure or interest in LLMs, Text-to-SQL evaluation, or data annotation platforms.

What We Offer at HiredBuddy

  • 100% Remote: Flexible working hours and asynchronous team culture.
  • Cutting-Edge AI Experience: Direct hands-on exposure to how enterprise LLMs and Text-to-SQL models are trained and benchmarked.
  • Career Advancement: Clear progression path into Mid-Level Database Administration, Data Engineering, or AI Training Operations.



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