Remote JavaScript Developer

Turing; Bengaluru; Remote; INR 669,600 - 1,116,000; Part time

Benefits offered by this job

Work in a fully remote environment

Opportunity to work on cutting-edge AI projects with leading LLM companies

Job summary

A leading AI technology firm in Bengaluru is seeking experienced software engineers at the tech lead level to work on LLM evaluation projects. The role involves analyzing GitHub issues, configuring code repositories, and modifying codebases to evaluate performance in bug-fixing scenarios. Ideal candidates have over 3 years of experience, proficiency with Git and Docker, and the ability to navigate complex projects. This remote contractor role offers a chance to influence AI-assisted software development.

Qualifications

• Minimum 3+ years of overall experience.
• Comfortable running, modifying, and testing real-world projects locally.

Responsibilities

• 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 repositories and issues that challenge LLMs.
• Opportunities to lead a team of junior engineers.

Skills

Proficiency with Git

Proficiency with Docker

Ability to understand and navigate complex codebases

Experience contributing to or evaluating open-source projects

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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