Senior Software Engineer for LLM Evaluation & Repository Validation

Role Overview: This position offers a unique opportunity to engage in hands-on software engineering while contributing to the development of LLM evaluation and training datasets. You will work on creating verifiable software engineering tasks using public repository histories, enhancing 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 are challenging for LLMs.
• Lead a team of junior engineers to collaborate on projects.

Qualifications:

• Minimum 3+ years of overall experience.
• Strong experience with C#.
• 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.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.

Work Terms:

• Commitments Required: At least 4 hours per day and a minimum of 20 hours per week, with 4 hours overlap with PST. Options for time commitment include 20 hrs/week, 30 hrs/week, or 40 hrs/week.
• Employment Type: Contractor assignment (no medical/paid leave).
• Location: Open to candidates in India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, and Mexico.

Compensation: Competitive compensation based on experience and commitment level.

Eligibility:

• Must be able to work remotely and meet the specified time commitments.

Why Join Us? Be part of one of the world’s fastest-growing AI companies, influencing the future of AI-assisted software development while working on cutting-edge projects with leading LLM companies.