Database Systems Evaluation Expert
About this role
Applications close Friday, October 16, 2026 at 12:00 p.m. Pacific. We are selecting the first three applicants who qualify for the initial pilot.
About the work
Build real-world tasks that test how well AI agents handle database engineering. Depending on your specialty, your task may cover database-engine implementation, production diagnosis, or application migration.
Each task should include a clear problem statement, a reproducible repository or environment, a working reference solution, tests, and grading criteria that distinguish a robust engineering solution from one that only appears correct.
What you'll do
- Design one challenging, self-contained database engineering task.
- Build checks for correctness, failure handling, concurrency, retries, and regressions where relevant.
- Evaluate performance measures such as latency, throughput, and memory use.
- Write clear grading criteria for engineering judgment.
- Work with technical reviewers to refine and validate the task.
Who we're looking for
- At least five years of hands-on database-engine internals experience, or a database-systems PhD.
- Deep experience with storage engines, query execution, optimization, transactions, replication, or related low-latency systems.
- Strong implementation skills and clear explanations of correctness and performance tradeoffs.
- Experience with Go is preferred.
DBA, SQL analytics, ETL, or application-only database experience does not qualify on its own. You do not need to specialize in every task area.
Application process
Complete a self-paced technical assessment with written responses and a coding exercise. You control when to advance between sections. (~35 min)
Use a laptop or desktop with a camera, microphone, and entire-screen sharing. Have your own editor and terminal ready, along with Python 3.8+ and a compiler for C, C++, Rust, Go, or Java. The assessment includes a starter kit and public tests. Complete the assessment independently, without outside AI assistance.
Please apply as soon as possible. We will select the first three qualifying applicants. If the pilot fills, completed assessments may be considered for future work if the project expands.
Paid task after selection
Selected experts will complete one task, with approximately 25 hours of work, followed by technical review and feedback.
Task deadline: Friday, October 30, 2026.
Details
- Pay: $2,200 per task
- Company: Mercor
- Location: Remote
- Eligible locations: Worldwide (no restriction)
- Platform: Mercor
Frequently asked questions
How much does the Database Systems Evaluation Expert role pay?
Mercor lists this Database Systems Evaluation Expert position at $2,200 per task. Pay is set by Mercor and your exact offer depends on your experience and the scope of the work.
Is the Database Systems Evaluation Expert role remote, and can I work from home?
Yes. Mercor lists this Database Systems Evaluation Expert position as fully remote, so you can work from home or anywhere with a reliable computer and internet connection.
Is Database Systems Evaluation Expert full time or part time?
Mercor lists this as a contractor remote role. Full details are in the role description above.
Which countries can apply for Database Systems Evaluation Expert?
Mercor lists this role with no country restriction. Check the Mercor listing for current requirements before applying.
Do I need experience to apply for Database Systems Evaluation Expert?
The requirements are listed in the role description above. Mercor screens applicants through its own process, and relevant skills or credentials strengthen your application.
How do I apply for the Database Systems Evaluation Expert role, and is it legit?
Use the apply button on this page to go straight to the official Mercor listing. Mercor is a real hiring marketplace and applying is free. No legitimate employer charges you to apply.
Stay Updated on Roles Like This
Subscribe to receive fresh openings aligned with AI Training & Evaluation and AI training roles across Mercor and JobHub by NeonLabs