Remote Software Engineer (Rust)

Turing

Dadri

Remote

INR 900,000 - 1,500,000

Part time

14 days+
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Benefits offered by this job

Fully remote environment
Work on cutting-edge AI projects
3-month contract

Job summary

A leading AI company is seeking experienced software engineers for a unique role focused on evaluating LLMs and software engineering tasks. The position involves engaging with GitHub repositories, automating development environments, and collaborating with researchers. Candidates should have over 3 years of experience, familiar with Rust and tools like Git and Docker. Work is fully remote with flexible commitments. Contract duration is 3 months, starting soon.

Qualifications

  • Minimum 3+ years of overall experience.
  • Strong experience with at least one programming language like Rust.
  • Proficiency with Git, Docker for software pipeline setup.

Responsibilities

  • Analyze and triage GitHub issues across trending open-source libraries.
  • Set up and configure code repositories, including Dockerization.
  • Evaluate unit test coverage and quality.
  • Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
  • Collaborate with researchers to design repositories and issues challenging for LLMs.
  • Lead a small team of junior engineers on projects.

Skills

Rust
Git
Docker
Understanding complex codebases
Local testing and modification

Tools

Docker
CI/CD

Job description

3 days ago Be among the first 25 applicants

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.
  • 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].

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

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