Remote JavaScript Engineer

Turing; Pune District; Remote; INR 800,000 - 1,200,000; Part time

Job summary

A leading AI company in Pune is seeking experienced software engineers at the tech lead level to work on LLM evaluation and training datasets. This role involves hands-on software engineering tasks like setting up repositories and analyzing GitHub issues. Candidates should have at least 3 years of experience with Git and Docker, and comfort in modifying complex codebases. Join to influence AI-assisted software development while working collaboratively with researchers. Commitment is at least 20 hours a week, primarily as a contractor.

Qualifications

• Minimum 3+ years of overall experience.
• 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.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues challenging for LLMs.
• Lead a team of junior engineers on projects.

Skills

Proficiency with Git

Proficiency with Docker

Understanding complex codebases

Running real-world projects locally

Job description

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One approach is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human‑in‑the‑loop, expanding dataset coverage to different types of tasks across programming languages and difficulty levels.

About the Role: We are looking for experienced software engineers (tech lead level) familiar with high-quality public GitHub repositories 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 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

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.