Systems Optimization Expert - Fully Remote | Up To $130/Hr

Mercor connects elite creative and technical talent with leading AI research labs. The company is headquartered in San Francisco and has notable investors including Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Location: Remote

Salary: $100–$130/hour

Responsibilities

• Guide research and engineering teams to improve AI model performance in systems-level optimization, compiler engineering, and runtime performance.
• Design challenging tasks across multiple specializations and write accurate solutions to performance engineering problems.
• Evaluate performance engineering tasks and solutions, providing clear, written technical feedback.
• Develop guidelines and evaluation frameworks to assess systems design quality across AI workloads.
• Collaborate with subject matter experts to ensure consistency and accuracy in training data.

Requirements

• 2+ years of experience in performance engineering, systems programming, or low-level optimization.
• Expertise in C++, Python, or Rust.
• Proven track record of performance improvements on production systems.
• Ability to engage for at least 30 hours/week during weekdays.
• Strong written communication skills.

Additional Information

• Application process takes 20–30 mins: upload resume, AI interview based on resume, submit form.
• Resources and support available at https://talent.docs.mercor.com/welcome.
• Support contact: support@mercor.com.
• Applications are reviewed daily; complete application steps to be considered.