Systems Optimization Specialist - Fully Remote | Upto $110/hr

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: Performance Engineer (C++, Python, Rust) Type: Contract Compensation: $70–$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities Guide research and engineering teams to improve AI model performance in systems-level optimization. Design challenging tasks across specializations and write accurate solutions to performance engineering problems. Evaluate performance engineering tasks and provide clear, written technical feedback. Develop guidelines and rubrics to assess systems design quality across AI workloads . Collaborate with subject matter experts to ensure consistency and accuracy in training data. Work independently and asynchronously to meet deadlines while enhancing AI model training . Qualifications Must-Have 2+ years of experience in performance engineering or low-level optimization. Expertise in C++, Python, or Rust with familiarity in the others. Proven track record of performance improvements on production systems. Strong written communication skills. Ability to engage for 40 hours/week during weekdays. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form 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