RemoteListed Jul 4, 2026
Systems Optimization Expert - Fully Remote | Upto $130/hr
mercor
The role
Job description
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 Expert
Type:Contract
Compensation:$100–$130/hour
Location:Remote
Commitment:40 hours/week
Role 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.
Qualifications
Must-Have
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.
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: [link removed]For any help or support, reach out to: [link removed]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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Listing details
- Listed location
- United States
- Employment
- Contractor
- Published
- Jul 4, 2026
Listing trust
- Observed through
- Himalayas
- Listing last observed
- Jul 26, 2026
Work-from eligibility is based on normalized evidence in the listing: United States.
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