Remote JavaScript Engineer

turing; United States; Remote; USD 83,000 - 124,000; Full time

Benefits offered by this job

Fully remote

Cutting-edge AI projects

Job summary

Turing is seeking experienced software engineers at a tech-lead level to contribute to LLM evaluation projects. You will triage issues from public repositories, set up environments, and evaluate test coverage while influencing how AI systems interact with real code.

The role combines hands-on software engineering with AI research, offering remote work, collaboration with researchers, and leadership opportunities for junior engineers on cutting-edge tasks.

Qualifications

• 3+ years of software engineering experience.
• Proficient in JavaScript/TypeScript.
• Experience with Git, Docker, and setting up pipelines.
• Able to run and modify real-world projects locally.
• Experience with open-source contributions 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 that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Skills

JavaScript/TypeScript

Codebase navigation

Dockerization & environment setup

Git

Open-source evaluation

Team leadership potential

Tools

Git

Docker

CI/CD basics

Testing 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 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.


• Strong experience in JavaScript / TypeScript.


• 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.
  
  
  
  

Offer Details:

• 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).