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About the projects:
We are building LLM evaluation and training datasets to train LLMs 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 using a synthetic approach with a human-in-the-loop, while expanding dataset coverage to include different types of tasks across programming languages, difficulty levels, 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. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality
Why 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:
Required Skills:
Nice to Have:
Perks of Freelancing With Turing:
Offer Details:
Evaluation Process (approximately 75 mins) :
Job ID: 149287567
Skills:
Git, Docker, software pipeline setup
Skills:
containerization , Typescript, Sql, React, Kafka, AWS, Redis, Kubernetes, Azure, Gcp, Docker, Jenkins, Service Bus, Argo CD, SQL MI, Event Hub, Key Vault, Salt
Skills:
.NET, .Net Core, .NET 6, Tfs, Graphql, Agile Methodologies, Scrum, Microservices, Sql, Nosql, Docker, Rest Apis, Azure, Kubernetes, Azure DevOps, Polarion, Safe
Skills:
Java, Write Test Cases, Soapui, C Sharp, Test automation, Git, Jmeter, Rest Assured, Gitlab, Api Automation, Selenium, Postman, Python, API tools, Playwright, Desktop Automation, CI pipeline
Skills:
.Net Core, Azure Sql, Angular, SQL Server, Cosmos DB, Microservices, Docker, MongoDB, Azure DevOps, Podman, GitHub Actions, Azure App Services
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