Senior Software Engineer, Rust for LLM Evaluation
from $40/hour
About this role
Join a pioneering project focused on building LLM evaluation and training datasets that tackle realistic software engineering challenges. This role provides a unique opportunity to contribute to the development of verifiable software engineering tasks based on public repository histories, utilizing a synthetic approach with human-in-the-loop methodologies while expanding dataset coverage across various programming languages and difficulty levels.
Key Responsibilities:
- Analyze and triage GitHub issues across trending open-source libraries.
- Set up and configure code repositories, including Dockerization and environment setup.
- Evaluate unit test coverage and quality.
- Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
- Collaborate with researchers to design and identify repositories and issues that present challenges for LLMs.
- Lead a team of junior engineers to collaborate on projects.
Qualifications:
- Minimum of 3 years of overall experience.
- Strong experience with Rust or similar programming languages.
- Proficiency with Git, Docker, and basic software pipeline setup.
- Ability to understand and navigate complex codebases.
- Comfortable running, modifying, and testing real-world projects locally.
- Experience contributing to or evaluating open-source projects is a plus.
Preferred Qualifications:
- Previous participation in LLM research or evaluation projects.
- Experience building or testing developer tools or automation agents.
Work Terms:
- Commitment of at least 4 hours per day and a minimum of 20 hours per week, with 4 hours of overlap with PST. Options available for 20, 30, or 40 hours per week.
- Contractor assignment with no medical or paid leave.
- Contract duration of 3 months, with an expected start date next week.
- Location eligibility includes India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, and Mexico.
Compensation:
- Competitive compensation based on experience and project involvement.
Eligibility:
- Open to candidates with the required skills and experience from specified locations.
This role offers the chance to work in a fully remote environment on cutting-edge AI projects with leading LLM companies, influencing the future of AI-assisted software development.