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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, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L
Role Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What does day-to-day life look like
Requirements:
Offer Details:
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
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Job ID: 141050723
Skills:
Java, Algorithms, Software Design, Typescript, Javascript, Data Structures, Python, Go
Skills:
Java EE, PostgreSQL, Json, JAX-RS, Azure, Angular, RDBMS, Swagger, Oracle, AWS, Java, Github, Springboot, Data Migration, Agile Methodologies, DB2, Jmeter, Apache Kafka, Restful Apis, Struts, Microservices architecture, DevOps Practices, Database query writing, Container orchestration
Skills:
Gerrit, Linux Scripting, JIRA, Microservices, Docker, Gitlab, Python, Agile Methodologies, Network Protocols, Git, Robot Framework, Rest Apis, Helm, Kubernetes, Kiro Cursor, Go, open-source technologies, ML models, AI-assisted engineering tools, automation test design, intelligent agents, AI-enabled workflows, integration of LLMs, virtualization concepts, intelligent automation
Skills:
Java, Cassandra, Kafka, Spring Boot, SSL, Redis, Pki, Api Development, Rabbitmq, Git, Docker, MySQL, Oracle, Kubernetes, GenAI, Oath2, prompt engineering, AI-powered coding assistants, mTLS, 3GPP standards
Skills:
Cassandra, Data Structures, Kafka, Distributed Systems, Java Technologies, Large-scale application development, Algorithm Design Patterns, Containerization technology, Java Multithreading