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:
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.