Remote Senior Software Engineer - 34123

Turing; New York (NY); Remote; USD 140,000 - 185,000; Part time

Job summary

A leading AI company seeks a tech lead software engineer to contribute to LLM evaluation projects. The role focuses on hands-on software engineering tasks, including automation, analyzing open-source repositories, and collaborating with research teams. It's an exciting opportunity at the intersection of software engineering and AI research.

Benefits

Fully remote environment

Work on cutting-edge AI projects

Flexible commitment of 20 hours per week

Qualifications

• Experience working with well-maintained, widely-used repositories with 500+ stars required.
• Proficiency in Git and Docker essential.
• Capable of analyzing and triaging issues on GitHub.

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.

Skills

Git

Docker

Software pipeline setup

Understanding complex codebases

Experience with open-source projects

Job description

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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. You should have experience working with well-maintained, widely-used repos with 500+ stars. 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:

Experience working with well-maintained, widely-used repositories with 500+ stars

• 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.

Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required.

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.
• Commitment required: 20 hours per week with some overlap with PST
• Employment type: Contractor assignment (no medical/paid leave)
• Duration of contract: 1 month with expected start date as next week
• Rates: $40–$100/hour, based on experience and skill level.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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