Remote Ruby Engineer

Turing

Chennai District

Remote

INR 1,929,000 - 3,582,000

Part time

14 days+

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Benefits offered by this job

Work in a fully remote environment

Opportunity to work on cutting-edge AI projects

Job summary

A leading AI company is hiring experienced software engineers at a tech lead level to work on LLM evaluation and training projects. This remote role involves analyzing GitHub issues, setting up code environments, and collaborating with researchers on AI advancements. Candidates should have at least 3 years of experience in software engineering, proficiency in Ruby, and familiarity with Git and Docker. Flexible time commitments of 20 to 40 hours per week are available.

Qualifications

Minimum 3+ years of overall experience.
Proficient in at least one programming language (Ruby preferred).
Experience with Git and Docker is required.

Responsibilities

Analyze and triage GitHub issues across trending open-source libraries.
Set up and configure code repositories, including Dockerization.
Collaborate with researchers to design and assess challenging repositories.

Skills

Ruby

Git

Docker

Understanding complex codebases

Evaluating open-source projects

Tools

Git

Docker

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: Ruby.
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)

Seniority level