Employment Type : Full-Time
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 a Typical Day Look Like? ? Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. ? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. ? Collaborate withcross-functionalteamsto enhance AI-drivencoding solutionsagainstindustryperformance 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 (+5 years), including, 2+years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). ? 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.