Senior Software Engineer – Rust (LLM Evaluation & Repository Validation)
Listing checked August 25, 2026 · pay as published by Turing
Overview
This role sits inside a project that produces LLM evaluation and training datasets for real-world software engineering problems. The team builds verifiable SWE tasks from public repository histories using a synthetic approach with human-in-the-loop review, then expands coverage across programming languages and difficulty levels. You will analyze and triage GitHub issues in trending open-source libraries, configure repos with Docker, run codebases locally, and assess how well LLMs handle bug-fixing scenarios. The work is hands-on and spans environment automation, test coverage evaluation, and collaboration with researchers to select challenging repositories and issues. You also have the option to lead a small team of junior engineers.
What You'll Do6
- 1Triage and categorize GitHub issues from popular open-source libraries to find tasks suitable for LLM evaluation.
- 2Configure code repositories and build local development environments, including Docker containers and dependency setup.
- 3Assess unit test coverage and quality across candidate repositories to identify meaningful evaluation targets.
- 4Run and modify real-world codebases locally to test how well LLMs perform on bug-fixing tasks.
- 5Work alongside researchers to select repositories and issues that present a genuine challenge for current LLMs.
- 6Lead a group of junior engineers on project tasks when the workload calls for it.
Requirements9
- 1At least 3 years of professional software engineering experience.
- 2Strong command of Rust for real-world development and debugging tasks.
- 3Working knowledge of Git, Docker, and standard software pipeline setup.
- 4Comfort reading and navigating large, unfamiliar codebases.
- 5Ability to run, modify, and test existing codebases in a local environment.
- 6Experience contributing to or evaluating open-source projects is a plus.
- 7Prior involvement in LLM research or evaluation projects is nice to have.
- 8Familiarity with building or testing developer tools or automation agents is a plus.
- 9A track record that supports operating at a tech lead level, from scoping tasks to guiding less experienced engineers.
Who Should Apply
The ideal candidate is a senior software engineer with deep Rust experience and a habit of digging into open-source repos, triaging issues, and assessing test coverage. This role fits someone who enjoys hands-on repo setup with Git and Docker and can reason about why an LLM fails on a specific bug-fixing task. The role is less suitable for engineers who prefer feature development over evaluation work or who are uncomfortable running unfamiliar codebases locally. Candidates often score low when they lack evidence of working with large public codebases, or when they cannot clearly explain how they would design a reproducible environment for a given repository.
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$75/hour
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Compensation
Undisclosed by Turing
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208 roles$55 – $98/ hr
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Required Skills
Application Tip
Create a short portfolio entry around a real GitHub repository: write a Dockerfile, describe how you would triage an open issue, and explain how you would assess test coverage. Mention any LLM evaluation or open-source contribution work directly in your resume since it maps to the exact tasks in this role.
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