Remote JavaScript Developer

Turing; Chennai District; Remote; INR 3,606,853 - 6,311,993; Part time

Job summary

A leading AI company in Chennai, India seeks experienced software engineers at the tech lead level to work on LLM evaluation and training datasets. The role involves analyzing GitHub issues, setting up code repositories, assessing test coverage, and collaborating with researchers. Candidates should have a minimum of 3 years experience, proficient in Git and Docker. This contractor position requires at least 20 hours per week with specific PST overlap opportunities.

Qualifications

• Minimum 3+ years of overall experience.
• Ability to understand and navigate complex codebases.
• 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 and environment setup.
• Evaluate unit test coverage and quality.
• Collaborate with researchers to design and identify challenging repositories for LLMs.
• Lead a team of junior engineers.

Skills

Git

Docker

Software pipeline setup

Understanding complex codebases

Job description

About the Projects

We are building LLM evaluation and training datasets to train LLMs to work on realistic software engineering problems. One of our approaches 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 other dimensions.

About the Role

We are looking for experienced software engineers (tech lead level) familiar with high‑quality public GitHub repositories and able to 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.

Day‑to‑Day Responsibilities

• Analyze and triage GitHub issues across trending open‑source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluate 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.
• Lead a team of junior engineers on collaborative 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.

Commitments Required

At least 4 hours per day and a minimum of 20 hours per week with overlap of 4 hours with PST. (We offer 20 hrs/week, 30 hrs/week, or 40 hrs/week options.)

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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