Remote Python Programmer

Turing

India

Remote

INR 2,577,362 - 5,154,724

Part time

14 days+

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Benefits offered by this job

Fully remote environment

Opportunity to work on cutting-edge AI projects

Job summary

A dynamic AI company is seeking experienced software engineers to join a pioneering project involving LLM evaluation and synthetic task generation. This fully remote role demands 3+ years of experience with Python, Git, and Docker. Responsibilities include analyzing GitHub issues, configuring codebases, and collaborating with researchers on AI projects. Candidates should be knowledgeable in navigating complex code and modifying real-world projects. Join us in influencing the future of AI-assisted development.

Qualifications

3+ years overall experience in software engineering.
Experience with Git, Docker, and setup of software pipelines.
Ability to modify and test codebases locally.

Responsibilities

Analyze and triage GitHub issues.
Set up code repositories including Dockerization.
Evaluate unit test coverage and quality.
Modify codebases to assess LLM performance.
Collaborate with researchers on challenging repositories.
Lead a team of junior engineers.

Skills

Python

Git

Docker

Software pipeline setup

Navigating complex codebases

Testing real-world projects

Evaluating 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
Strong experience with at least one of the following languages: Python
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)
Duration of contract: 3 month; [expected start date is next week]