Job Description
About the projects: 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.\nAbout 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. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality\nWhy Join Us? \nTuring 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.\nWhat does day-to-day look like: \n- 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. \nRequired Skills: \n- Minimum 3+ years of overall experience - Robust experience with at least one of the following languages: Ruby - 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. \nNice to Have: \n- 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. \nOffer Details: \n- Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) - Employment type: Contractor assignment (no medical/paid leave) \nAfter applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.\nKnow amazing talent? Refer /referrals, and earn money from your network.
💡 Quick Summary
Seeking a career-building opportunity? The Remote Software Engineer (Ruby) (Navi Mumbai) position is now open for candidates interested in the Remote Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Remote Jobs is a plus.