Remote Python Developer

Turing; Gurugram District; Remote; INR 1,240,000 - 2,066,000; Part time

Benefits offered by this job

Referral program

Job summary

A leading AI company is seeking experienced software engineers for a project involving LLM evaluation and training datasets. The role includes analyzing GitHub issues, configuring code repositories, and evaluating test quality. Candidates should have at least 3 years of experience and proficiency in Python, Git, and Docker. The job offers flexible working hours and is available as a contractor assignment with a duration of 3 months. Join to influence the future of AI-assisted software development.

Qualifications

• Minimum 3+ years of overall experience in software engineering.
• Proficiency in Python and familiarity with Git and Docker.
• Comfortable modifying and running real-world projects locally.
• 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.
• 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.

Skills

Python

Git

Docker

Complex codebase navigation

Open-source project evaluation

Tools

Git

Docker

CI/CD pipelines

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.

Day‑to‑day responsibilities:

• Analyze and triage GitHub issues across trending open‑source libraries.
• Set up and configure code repositories, including Dockerization and environment set‑up.
• 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.
• Strong experience with at least one of the following languages: Python.
• Proficiency with Git, Docker, and basic software pipeline set‑up.
• 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.

Working Conditions:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Options: 20 hrs/week, 30 hrs/week, or 40 hrs/week.
• Employment type: Contractor assignment (no medical/paid leave).
• Duration of contract: 3 month; expected start date next week.

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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