About this role
Role Overview
Help advance large language models by creating and evaluating high-quality performance engineering training data for AI systems. You will apply hands-on expertise in low-level systems optimization, compiler engineering, and runtime performance to develop rigorous tasks, solutions, and evaluation materials.
Key Responsibilities
- Support research and engineering teams by addressing knowledge gaps in systems-level optimization, compiler engineering, and runtime performance.
- Create challenging, domain-relevant performance engineering tasks across multiple specializations and produce accurate, well-structured solutions.
- Assess tasks and solutions, providing clear written technical feedback.
- Develop detailed guidelines, rubrics, and evaluation frameworks for systems design quality in AI workloads.
- Partner with subject matter experts to maintain consistency and accuracy in training data.
Qualifications
- At least 2 years of dedicated professional experience in performance engineering, systems programming, or low-level optimization.
- Deep practical expertise in C++, Python, or Rust. Familiarity with the other languages is strongly preferred.
- A demonstrated record of measurable production-system improvements, such as reduced latency, improved throughput, or optimized memory use.
- Demonstrable career progression.
- Strong written communication skills and the ability to explain complex technical decisions clearly.
Work Terms
- United States-based, hourly W-2 employment.
- Full-time, 40 hours per week during weekdays.
- This engagement requires exclusive availability, with no conflicting or additional engagements.
Compensation
$70 to $110 per hour.
Equal Employment Opportunity
Employment decisions are made without regard to race, religion, color, national origin, sex, including pregnancy, childbirth, reproductive health decisions, or related medical conditions, sexual orientation, gender identity or expression, age, protected veteran status, disability, genetic information, political views or activity, or any other legally protected characteristic.