3 Development Debugging Jobs

About Us Turing is one of the worlds fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. Youll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We&aposre building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance. What Does a Typical Day Look Like Work across multiple different projects to improve LLM performance on code: sample projects Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants. Collaborate with the team to identify edge cases and ambiguities in model behavior. Review and compare 34 model-generated code responses per task using a structured ranking system. Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision. Required Skills Several years of software engineering experience, 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. Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency. 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 (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Show more Show less

About Us Turing is one of the worlds fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. Youll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We&aposre building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance. What Does a Typical Day Look Like Work across multiple different projects to improve LLM performance on code: sample projects Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants. Collaborate with the team to identify edge cases and ambiguities in model behavior. Review and compare 34 model-generated code responses per task using a structured ranking system. Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision. Required Skills Several years of software engineering experience, 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. Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency. 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 (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Show more Show less

About Us Turing is one of the worlds fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. Youll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We&aposre building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance. What Does a Typical Day Look Like Work across multiple different projects to improve LLM performance on code: sample projects Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants. Collaborate with the team to identify edge cases and ambiguities in model behavior. Review and compare 34 model-generated code responses per task using a structured ranking system. Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision. Required Skills Several years of software engineering experience, 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. Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency. 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 (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Show more Show less