Senior Software Engineer – Rust (LLM Evaluation & Repository Validation)

Turing

India

Remote

INR 2,587,000 - 5,174,000

Part time

14 days+

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Benefits offered by this job

Fully remote
Contractor engagement
Flexible hours

Job summary

Join Turing as a Senior Software Engineer focused on LLM evaluation and repository validation. You will hands-on engineer, automate environments, triage issues, and assess test coverage in real-world codebases.

We seek 3+ years’ experience with Rust or similar languages, plus strong Git and Docker skills. This remote role offers flexible hours and a contract-based engagement across multiple regions.

Qualifications

  • Minimum 3+ years of overall software engineering experience.
  • Strong experience with Rust or equivalent systems language.
  • Proficiency with Git, Docker, and basic software pipeline setup.
  • Ability to understand large codebases and contribute to open-source projects.

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 identify repositories and issues challenging for LLMs.
  • Potential to lead a team of junior engineers on projects.

Skills

Rust
Git
Docker
CI/CD
Code review

Job description

Job Title: Senior Software Engineer - LLM Evaluation & Repository Validation

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands‑on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality.

Why Join Us?

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI‑assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:
  • Analyze and triage GitHub issues across trending open-source libraries.
  • Set up and configure code repositories, including Dockerization and environment setup.
  • Evaluating 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.
  • Opportunities to lead a team of junior engineers to collaborate on projects.
Required Skills:
  • Minimum 3+ years of overall experience
  • Strong experience with at least one of the following languages:
    • Rust
  • 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.
Perks of Freelancing With Turing:
  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
Offer Details:
  • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
  • Employment type : Contractor assignment (no medical/paid leave)
  • Duration of contract : 3 month; [expected start date is next week]
  • Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico
  • Evaluation Process (approximately 75 mins) : Two rounds of interviews (60 min technical + 30 min technical & cultural discussion)
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