Remote Senior Software Engineer - 34123

Turing; Toronto; Remote; CAD 100,000 - 125,000; Part time

Job summary

A rapidly growing AI company seeks entry-level software engineers to contribute to LLM evaluation and training datasets. This role involves analyzing GitHub issues, configuring code repositories, and evaluating test coverage, offering a unique blend of software engineering and AI research. Join Turing to work remotely on cutting-edge AI projects and influence the future of AI-assisted software development.

Benefits

Work remotely

Engage in cutting-edge AI projects

Potential for contract extension based on performance

Qualifications

• Knowledge of major languages (C++, Java, Go) is a plus.
• Experience with Git and Docker is essential.
• Ability to run and modify real-world projects locally.

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

Contributing to open-source projects

Job description

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We are building LLM evaluation and training datasets to train LLMs to work on realistic software engineering problems. One of our approaches is to build verifiable SWE tasks based on public repository histories in a synthetic way, with human-in-the-loop, expanding dataset coverage across different programming languages, difficulty levels, etc.

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 hands-on software engineering tasks such as 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.

Day-to-Day 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.
• 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 software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfort with running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is advantageous.

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 remotely.
• Engage in cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance.
• Commitment: 20 hours/week, some overlap with PST.
• Employment type: Contractor (no medical/paid leave).
• Duration: 1 month, starting next week.

Seniority Level

• Entry level

Employment Type

• Contract

Job Function

• Engineering and Information Technology

Industries

• Software Development