Remote Senior Software Engineer - 34123

Turing; United States; Remote; USD 100,000 - 720,000; Part time

Job summary

Join a leading AI company as a Software Engineer, focusing on LLM evaluation and training datasets. Work remotely, analyze GitHub issues, and collaborate with researchers. This role offers a unique opportunity to influence AI-assisted software development.

Benefits

Fully remote work environment

Opportunity to contribute to cutting-edge AI projects

Potential for contract extension based on performance

Qualifications

• Experience contributing to or evaluating open-source projects is a strong plus.
• Working knowledge of other major languages (e.g., C++, Java, Go) 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.

Skills

Git

Docker

C++

Java

Go

Software Pipeline Setup

Job description

We are building LLM evaluation and training datasets to train language models on realistic software engineering problems. One of our key approaches in this project is to create verifiable software engineering tasks based on public repository histories using a synthetic, human-in-the-loop process. We aim to expand dataset coverage across various programming languages, difficulty levels, and task types.

About the Role

We are looking for experienced software engineers (tech leads) who are familiar with public GitHub repositories to contribute to this project. The role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluation of test quality and coverage.

Why Join Us?

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. In this role, you'll be at the forefront of evaluating how LLMs interact with real-world code, directly influencing the future of AI-assisted software development. This is a unique opportunity to combine practical software engineering with AI research.

What Your Day-to-Day Will 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 repositories and issues that challenge LLM capabilities.
• Lead a team of junior engineers in collaborative project work.

Required Skills

• Working 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 a strong plus.

Nice to Have

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

Perks of Freelancing with Turing

• Fully remote work environment.
• Opportunity to contribute to cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project requirements.
• Commitment: 20 hours per week, with some overlap with PST.
• Employment Type: Contractor (no medical benefits or paid leave).
• Contract Duration: 1 month, with an expected start date next week.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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