Remote Senior Software Engineer - 34123

Turing; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo parcial

Resumo da oferta

A leading AI company is seeking a tech lead software engineer to contribute to LLM evaluation projects. In this role, you'll analyze GitHub issues, set up code repositories, and evaluate test coverage, influencing the future of AI-assisted software development. This unique opportunity combines practical software engineering with cutting-edge AI research, allowing you to work remotely on impactful projects.

Serviços

Remote work environment

Opportunity to work on cutting-edge AI projects

Potential contract extension based on performance

Qualificações

• Experience with public GitHub repositories with 500+ stars.
• Ability to analyze and triage GitHub issues.
• Experience in evaluating test coverage and quality.

Responsabilidades

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization.
• Collaborate with researchers to identify challenging repositories.

Conhecimentos

Git

Docker

C++

Java

Go

Open-source contribution

Codebase navigation

Descrição da oferta de emprego

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About the projects:

We are building LLM evaluation and training datasets to train LLMs to work on realistic software engineering problems. Our approach involves creating verifiable SWE tasks based on public repository histories in a synthetic manner with human-in-the-loop, expanding dataset coverage across different programming languages, difficulty levels, and more.

About the Role:

We seek experienced software engineers (tech lead level) familiar with high-quality public GitHub repositories to contribute to this project. Candidates should have experience with well-maintained, widely-used repositories with 500+ stars. Responsibilities include development environment automation, issue triaging, and evaluating test coverage and quality.

Why Join Us?

Turing is a rapidly growing AI company advancing and deploying powerful AI systems. You will evaluate how LLMs interact with real code, influencing the future of AI-assisted software development. This role offers a unique blend of practical software engineering and 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.
• 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 and issues for LLMs.
• Potential to lead a team of junior engineers on projects.

Required Skills:

• Knowledge of other major languages (e.g., C++, Java, Go) is a plus.
• 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 beneficial.

Nice to Have:

• Participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.

Perks of Freelancing With Turing:

• Remote work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential contract extension based on performance and project needs.
• Commitment required: 20 hours/week with some overlap with PST.
• Employment type: Contractor (no medical or paid leave).
• Duration: 1 month, starting next week.

Seniority level

• Entry level

Employment type

• Contract

Job function

• Engineering and Information Technology

Industries

• Software Development