Remote JavaScript Developer

Turing

Bengaluru

Remote

INR 2,800,000 - 3,800,000

Part time

14 days+

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Benefits offered by this job

Fully remote option

Job summary

A leading AI company in Bengaluru is seeking experienced software engineers (tech lead level) to contribute to innovative AI projects. You'll analyze GitHub issues in trending libraries, setup code repositories, and evaluate quality. Candidates should have a minimum of 3 years of experience and proficiency in Git and Docker. This contractor assignment is fully remote, requiring at least 20 hours per week with flexibility. Join us to influence the future of AI-assisted software development.

Qualifications

  • Minimum 3+ years of overall experience.
  • Proficiency with Git, Docker, and basic software pipeline setup.
  • Comfortable running, modifying, and testing real-world projects locally.
  • 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 identify challenging repositories for LLMs.
  • 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

Git
Docker
Complex codebase navigation
Open-source project evaluation

Tools

Git
Docker
Codebase navigation
Local testing
Open-source experience

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 involves building verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop, while expanding dataset coverage to different 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.
  • 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.
  • 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 a minimum of 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)

Application Process

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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