Systems Optimization Specialist - Fully Remote | Upto $110/hr
Job check
1/100
Low ghost risk
- Live on the employer's careers page
- Online 7 days, within the typical 45 days
- Never re-posted
About this role
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: https://talent.docs.mercor.com/welcome • For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.