[Hiring] Database Systems Evaluation Expert @Mercor

Role Description

• Design challenging, self-contained database engineering tasks.
• Build checks for:
  • correctness
  • failure handling
  • concurrency
  • retries
  • regressions
• Evaluate performance measures such as:
  • latency
  • throughput
  • 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
  • related low-latency systems
• Strong implementation skills and clear explanations of correctness and performance tradeoffs.

Requirements

• 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.

Benefits

• Compensation: $2200 per task
• Location: Remote

Company Description

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.