Database Engineer - Fully Remote | Up to $2200/task

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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: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas

关于这份工作 Mercor 将顶尖的创意与技术人才与领先的 AI 研究实验室连接起来。公司总部位于旧金山，投资方包括 Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers 和 Jack Dorsey。职位：数据库系统评估专家 类型：合同制 薪酬：每个任务 2200 美元 地点：远程 角色职责 设计具有挑战性、自包含的数据库工程任务。为正确性、故障处理、并发、重试和回归构建检查。评估延迟、吞吐量和内存使用等性能指标。为工程判断编写清晰的评分标准。与技术评审人员合作，完善并验证任务。任职资格 必备条件 5 年以上数据库引擎内部机制的实操经验，或数据库系统博士学位。在存储引擎、查询执行、优化、事务、复制或相关低延迟系统方面具有深厚经验。具备较强的实现能力，并能清晰解释正确性与性能之间的权衡。申请流程（完成需要 20–30 分钟）完成一项自定进度的技术评估，包括录制的口头回答和一道编码练习。使用带有摄像头、麦克风和全屏共享功能的笔记本电脑或台式机。准备好自己的编辑器和终端，以及 Python 3.8+ 和 C、C++、Rust、Go 或 Java 的编译器。评估包含一个入门套件和公开测试。独立完成评估，不得使用外部 AI 协助。资源 支持 有关面试流程和平台信息的详细信息，请查看：如需任何帮助或支持，请联系：PS：我们的团队每天都会审核申请。请完成你的 AI 面试和申请步骤，以便获得这一机会的考虑。最初发布于 Himalayas

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