Job Title/Role: Technical Lead Mode of hire: Full-Time Base Location: Guindy, Chennai Mode of work: Hybrid Shift Timing: General Shift (US time-zone overlap) Experience: 8+ Yrs Notice Period: Immediate to 30 days About the Role We
Job Title/Role: Senior QA Automation Engineer Mode of hire: Full-Time Base Location: Guindy, Chennai Mode of work: Hybrid Shift Timing: (US time-zone overlap preferred) Department: QA Experience: 5 to 8 Years Notice : Preferred Only Immediate
Job Title/Role: QA Lead Mode of hire: Full-Time Base Location: Guindy, Chennai Mode of work: Hybrid Shift Timing: General Shift (US time-zone overlap preferred) Experience: 7 to 10 Years Department: QA Notice: Preferred Immediate to 30
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
About Us Carrier Compliance Services Inc. is a Canadian transportation safety and compliance consultancy serving ~40 carrier clients. We are building Steer Fleet TMS — a multi-tenant B2 B Saa S platform that replaces manual compliance
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
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
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first,
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
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
About Smart Working At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isnt just another remote opportunity - its about finding where you truly
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
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
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
Role Overview: Turing is seeking experienced C/C++ developers to partner with a leading AI research lab in validating and improving AI-generated code. In this role, youll review and correct complex systems code, enforce best practices, and
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first,
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first,
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first,
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
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