Systems Optimization Expert - AI Trainer
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:
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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