> Markdown version of [/jobs/ext/4483357-systems-optimization-expert-fully-remote-upto-110-hr](https://www.wearedevelopers.com/jobs/ext/4483357-systems-optimization-expert-fully-remote-upto-110-hr). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Optimization Expert - Fully Remote | Upto $110/hr - **Company:** Mercor, Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $145,600.0 - $228,800.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, C++ (Programming Language), Python (Programming Language), System Programming - **Published:** October 23, 2026 - **Apply:** https://www.thejobnetwork.com/job/4b658fc3-8e3f-492e-9280-fefc71424521/systems-optimization-expert-fully-remote-upto-hr ## About the Role Must-Have * 2+ years of dedicated professional experience in performance engineering, systems programming, or low-level optimization. * Deep hands-on expertise in at least one of the following: C++, Python, or Rust - with working familiarity across the others being a strong plus. * Demonstrable track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization). * Demonstrable career progression. * Ability to engage reliably for at least 40 hours/week during weekdays. * Strong written communication skills and the ability to explain complex technical decisions clearly. ## Description * Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems-level optimization, compiler engineering, and runtime performance topics. * Design challenging, domain-relevant tasks across multiple specializations, and write accurate and well-structured solutions to performance engineering problems. * Evaluate performance engineering tasks and solutions and provide clear, written technical feedback. * Develop guidelines and detailed rubrics/evaluation frameworks to assess systems design quality across AI workloads. * Collaborate with other subject matter experts to ensure consistency and accuracy in training data., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.