Remote Rust Engineer

Turing; Dadri; Remote; INR 4,977,777 - 7,466,666; Part time

Job summary

A leading AI company is seeking experienced software engineers (tech lead level) to contribute to building LLM evaluation datasets. You will analyze GitHub issues, set up code repositories, and collaborate with researchers. Required skills include strong experience with Rust, Git, and Docker. This is a contractor assignment requiring a commitment of at least 20 hours per week with some overlap to PST. The role offers a unique opportunity at the intersection of software engineering and AI research.

Qualifications

• Minimum 3+ years of overall experience.
• Strong experience with Rust or similar programming languages.
• Comfortable running, modifying, and testing real-world projects locally.

Responsibilities

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization.
• Modify and run codebases locally to assess LLM performance.
• Collaborate with researchers on challenging repositories.

Skills

Rust

Git

Docker

Software pipeline setup

Issue triaging

Codebase navigation

Job description

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.

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 for 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.

After applying

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.