About the position
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Database Systems Evaluation Expert Type: Contract Compensation: $2200 per task Location: Remote Role Responsibilities Design challenging, self-contained database engineering tasks . Build checks for correctness , failure handling , concurrency , retries , and regressions . Evaluate performance measures such as latency , throughput , and memory use . Write clear grading criteria for engineering judgment . Collaborate with technical reviewers to refine and validate tasks. Qualifications Must-Have 5+ 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. Application Process (Takes 20–30 mins to complete) Complete a self-paced technical assessment with recorded verbal responses and a coding exercise. 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. Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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