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