Remote JavaScript Developer

Turing; Mumbai; Remote; INR 810,000 - 1,010,000; Part time

Benefits offered by this job

Fully remote work environment

Opportunity to work on AI projects

Job summary

An innovative AI firm is seeking experienced software engineers at a tech lead level to join their team focused on LLM evaluation and training. In this role, you will analyze GitHub repositories, set up development environments, and collaborate with researchers on AI-related projects. Ideal candidates should have a minimum of 3 years of experience and be proficient with Git and Docker. This position offers the flexibility of fully remote work while contributing to cutting-edge developments in AI.

Qualifications

• Minimum 3+ years of overall experience.
• Experience participating in LLM research or evaluation projects is a plus.
• Experience building or testing developer tools or automation agents is advantageous.

Responsibilities

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up 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 identify challenging repositories for LLMs.
• Lead a team of junior engineers on projects.

Skills

Proficiency with Git

Proficiency with Docker

Ability to navigate complex codebases

Comfortable testing real-world projects

Experience with 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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