Website:
agilegridsolution.com
Job details:
About The Company
Turing is one of the world's fastest-growing AI companies dedicated to accelerating the development and deployment of advanced artificial intelligence systems. With a focus on innovation and excellence, Turing leverages cutting-edge technologies to create impactful solutions that transform industries. The company fosters a dynamic and inclusive work environment, encouraging continuous learning and collaboration among talented professionals. Turing's mission is to harness the power of AI to solve complex problems and drive technological progress on a global scale.
About The Role
We are seeking experienced software engineers at the tech lead level to join our innovative project focused on building large language model (LLM) evaluation and training datasets. This role involves contributing to the development of verifiable software engineering (SWE) tasks based on public repository histories, utilizing a synthetic approach with human-in-the-loop methodologies. The ideal candidate will have a strong background in working with high-quality open-source repositories, particularly on GitHub, and will play a vital role in automating development environments, triaging issues, and assessing test coverage and quality. This is a hands-on position that offers the opportunity to influence how LLMs interact with real-world code, ultimately shaping the future of AI-assisted software development.
Qualifications
The ideal candidate should possess a minimum of 3+ years of professional experience in software engineering, with a strong emphasis on JavaScript and TypeScript. Proficiency with version control systems such as Git, containerization tools like Docker, and experience setting up and automating software pipelines are essential. Candidates must demonstrate the ability to understand and navigate complex codebases, run and modify projects locally, and evaluate code quality effectively. Experience contributing to or evaluating open-source projects is highly desirable. Additionally, familiarity with AI research or automation tools related to developer workflows will be considered a plus.
Responsibilities
In this role, you will analyze and triage issues across trending open-source libraries hosted on GitHub, ensuring the quality and relevance of datasets for LLM training. You will set up and configure code repositories, including Dockerization and environment setup, to facilitate testing and evaluation. Your responsibilities will include assessing unit test coverage and quality, modifying codebases locally to evaluate LLM performance in bug-fixing scenarios, and collaborating with researchers to identify repositories and issues that challenge LLMs. There will also be opportunities to lead a team of junior engineers, guiding their efforts and fostering collaborative problem-solving on complex projects.
Benefits
As a freelancer working with Turing, you will enjoy the flexibility of a fully remote working environment, allowing you to balance your professional and personal commitments. You will have the chance to work on cutting-edge AI projects alongside leading experts in the field, gaining valuable experience in the intersection of software engineering and AI research. Turing offers a flexible work schedule with commitments of at least 4 hours per day and a minimum of 20 hours per week, with options to increase based on your availability. This role provides an excellent platform for professional growth, network expansion, and contributing to impactful AI innovations.
Equal Opportunity
Turing is committed to creating an inclusive environment and is proud to be an equal opportunity employer. We celebrate diversity and are dedicated to providing an environment where all employees and contractors can thrive regardless of race, gender, age, religion, sexual orientation, or background. We believe that diverse perspectives foster innovation and drive the success of our projects and company mission.
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