3 days ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.Sign in to access AI-powered advicesContinue with Google Continue with GoogleContinue with Google Continue with GoogleContinue with Google Continue with GoogleContinue with Google Continue with GoogleContinue with Google Continue with GoogleContinue with Google Continue with GoogleWe 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 qualityWhy 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+ starsProficiency 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 workplace.Opportunity to work on cutting-edge AI projects with leading LLM companies.Commitment required: 20 hours per week with some overlap with PSTEmployment type: Contractor assignment (no medical/paid leave)Duration of contract: 1 month with expected start date as next weekRates: $40–$100/hour, based on experience and skill level.Seniority levelSeniority level Mid-Senior levelEmployment typeEmployment type ContractJob functionJob function Engineering and Information TechnologyIndustries Software DevelopmentReferrals increase your chances of interviewing at Turing by 2xSign in to set job alerts for “Software Engineer” roles.Continue with Google Continue with GoogleContinue with Google Continue with GoogleFrontend Software Engineer (Remote - Canada)Intermediate Fullstack Developer (Ruby & React)Senior Software Engineer (Features) - North AmericaWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr

📌 Remote Senior Software Engineer - 34123 - $40 - $100 An Hour - Remote (Toronto)
🏢 Turing
📍 Toronto