pbAbout Us: /b /ppBased 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 software engineering, logical 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 PL. /ppbr/ppbIdeal Background: /b /ppThis role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. /ppbr/ppbProject Overview: /b /ppAs 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 — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.



/ppbr/ppbWhat Does a Typical Day Look Like? /b /pulliWork on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. /liliEvaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. /liliCollaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. /liliBuild agents and automated verification tools in Python that can verify the quality of code and identify error patterns. /liliHypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. /liliDesign verification mechanisms that can automatically verify a solution to a software engineering task. /li /ulpbr/ppbRequired Skills: /b /pulliSeveral years of software engineering experience (3 years or more) /liliStrong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. /liliExperience building full-stack applications and deploying scalable software using modern languages and tools. /liliDeep understanding of software architecture, design, development, debugging, and code quality/review assessment. /liliExcellent oral and written communication skills for clear, structured evaluation rationales. /li /ulpbr/ppbEngagement Details: /b /pulliCommitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week /liliType: Contractor (no medical/paid leave) /liliDuration: 1 month (potential extensions based on performance and fit) /liliLocation: Candidates must be based in the United States /li /ulpbr/ppbEvaluation Process: /b /pulliThe application process takes 15–30 minutes. /liliCompletion of an AI video interview is required. /li /ul

📌 Remote Software Engineer (Como)
🏢 Turing
📍 Como