Remote JavaScript Developer

Turing; Bengaluru; Remote; INR 11,483,000 - 17,225,000; Part time

Benefits offered by this job

Work in a fully remote environment

Opportunity to work on cutting-edge AI projects

Job summary

A leading AI firm is seeking an experienced software engineer to evaluate how LLMs interact with real code and contribute to cutting-edge AI projects. Responsibilities include triaging GitHub issues, configuring repositories, and assessing code quality. This role is perfect for someone with a solid background in Git and Docker. Enjoy the flexibility of remote work, a commitment of at least 20 hours weekly, and a unique chance to blend software development with AI research.

Qualifications

• Minimum 3+ years of overall experience.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

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.
• Collaborate with researchers to identify challenging repositories.
• Opportunity to lead a team of junior engineers on projects.

Skills

Proficiency with Git

Proficiency with Docker

Ability to understand complex codebases

Experience with software pipeline setup

Comfortable modifying real-world projects locally

Tools

CI/CD pipelines

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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