About Us: 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 software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents - 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. Project 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 primarily in C/C++ , as well as in Python, JavaScript (including ReactJS), 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 a Typical Day Look Like? - Working on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in C/C++ , along with Python, JavaScript (including ReactJS), Java, Rust, and Go. - Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. - Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. - Build agents that can verify the quality of the code and identify error patterns. - Hypothesize 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. - Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: - Several years of software engineering experience (3 years or more) - Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. - Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. - Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: - Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week - Type: Contractor (no medical/paid leave) - Duration: 1 month (potential extensions based on performance and fit) - Location: Candidates must be based out of the US, Canada, or WEU countries (Austria, Belgium, France, Germany, ...) - Evaluation Process: The application process takes 15-30 minutes. Completion of an AI video interview is required.