Database Systems Engineer — AI Task Design & Evaluation

Mercor; Singapore; Remote; SGD 120,000 - 210,000; Full time

Job summary

Mercor is seeking an experienced database engineer to design a self-contained, real-world task that tests how AI agents handle database internals. The task will cover storage engines, query execution, optimization, and transactions, with a focus on correctness and performance tradeoffs.

You will craft robust evaluation criteria, ensure reproducibility, and collaborate with technical reviewers to refine the task for fairness and rigor.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Database internals

Storage engines

Query execution

Transactions

Job description

Mercor is seeking an experienced database engineer to design a self-contained, real-world task that tests how AI agents handle database internals. The task will cover storage engines, query execution, optimization, and transactions, with a focus on correctness and performance tradeoffs.

You will craft robust evaluation criteria, ensure reproducibility, and collaborate with technical reviewers to refine the task for fairness and rigor.