Database Systems PhD - Expert

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.
Work independently and asynchronously to meet deadlines.
Qualifications
Must-Have
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.
Preferred
Experience with Go.
Application Process (Takes 20–30 mins to complete)
Complete a self-paced technical assessment with written 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.
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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Work arrangement
Yes