Remote JavaScript Engineer

Turing; Mumbai; Remote; INR 2,500,181 - 5,000,362; Part time

Benefits offered by this job

Fully remote environment

Cutting-edge AI project opportunities

Job summary

A leading AI company is seeking an experienced software engineer at the tech lead level to work on LLM projects. The role involves analyzing GitHub issues, configuring code repositories, and evaluating software quality. Ideal candidates will have 3+ years of experience, proficiency in Git and Docker, and the ability to navigate complex codebases. This is a unique opportunity to contribute to cutting-edge AI projects in a fully remote environment, making a significant impact on software development's future.

Qualifications

• Minimum 3+ years of overall experience.
• Proficient in Git and Docker.
• Comfortable modifying and testing real-world software.

Responsibilities

• Analyze and triage GitHub issues for open-source libraries.
• Set up and configure code repositories.
• Evaluate unit test coverage and quality.
• Modify codebases to assess LLM performance.

Skills

Git

Docker

Software pipeline setup

Navigating complex codebases

Real-world project testing

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
• 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)

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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