Database Administrator | $25-$70/hr Remote
Overview
This Database Administrator role involves applying database expertise to help train next-generation AI systems by providing high-quality, real-world input. The position focuses on analyzing and optimizing database performance for MySQL and PostgreSQL environments, managing backup and recovery procedures, and collaborating with development teams to design robust database structures. Work is fully remote and does not require prior AI experience, only strong domain knowledge.
What You'll Do5
- 1Analyze and optimize database performance for large-scale MySQL and PostgreSQL environments
- 2Partner with the development team to design, implement, and maintain robust database structures
- 3Develop, test, and manage data backup and recovery procedures to safeguard business-critical information
- 4Monitor database environments to proactively identify and resolve performance bottlenecks
- 5Document database configurations, processes, and best practices to ensure operational transparency
Requirements4
- 1Advanced hands-on expertise with MySQL and PostgreSQL administration
- 2Proven track record in database optimization and troubleshooting
- 3Strong command of SQL for querying, scripting, and performance tuning
- 4Experience with backup, restore, and disaster recovery processes
Who Should Apply
The ideal candidate is an experienced Database Administrator with deep knowledge of MySQL and PostgreSQL, a proven ability to optimize and troubleshoot databases, and hands-on experience with backup and disaster recovery. They should be a strong communicator, comfortable working remotely in a distributed team, and capable of collaborating with cross-functional groups. No AI expertise is required, but a proactive, problem-solving mindset is essential.
Salary Insight
The role offers $25-$70 per hour, depending on experience and qualifications.
Required Skills
Application Tip
Showcase a concrete example of a database performance optimization you led, including the problem, approach, and measurable results (e.g., reduced query latency by X%).