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2 days ago Be among the first 25 applicants We are developing high-quality training and evaluation datasets to improve how Large Language Models (LLMs) perform on real software engineering problems. The core of this project involves identifying and curating verifiable coding tasks from public GitHub repositories, supported by a human-in-the-loop review process. As a contractor on this project, you will review code written by AI to solve real software tasks. Your feedback will help improve how future AI models learn to write and understand code. Key Responsibilities Review and compare 3-4 model-generated code responses for each task using a structured ranking framework Assess code changes (diffs) for correctness, quality, readability, and performance Provide clear, concise explanations for your ranking decisions Maintain consistency and fairness across all evaluations Identify and document edge cases or unusual model behavior Collaborate with the team to improve evaluation processes and identify improvement areas Required Qualifications Professional Experience Several years of experience as a software engineer (experience working as a data scientist will not be considered) Minimum 2 years of experience as a full-stack engineer at a leading tech product company (e.g., Google, Shopify, Microsoft, Snowflake, Meta, PayPal, etc.) Note: Experience from contractual or part-time roles will not be considered. Only full-time employment qualifies. Technical Skills Strong understanding of software design, debugging, and engineering best practices Familiarity with code review processes and version control systems Ability to analyze and compare real-world code changes Excellent written communication skills for clearly explaining technical evaluations Preferred Qualifications Degree from a top-ranked university is preferred but not required Experience working with LLM-generated code or AI evaluation projects Background in developer tools or systems automation Exposure to AI research or developer agents Commitment: 10-20 hours/week, with flexible work hours (partial overlap with Pacific Time) Duration: 1 month (starting next week, with potential for extension) Compensation: $50-$150/hour, based on experience, geography, and skill level About Turing: Turing is one of the world's 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. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. If you have strong software engineering expertise and are interested in helping shape the next generation of AI-assisted development tools, we encourage you to apply. Seniorit y level Mid-Senior level Employment type Contract Job function Information Technology and Engineering Software Development About listings: Referrals are not a guarantee of interview opportunities. This description reflects the role to be performed and does not include all responsibilities and requirements.

Overview Get AI-powered advice on this job and more exclusive features. Turing is one of the world's 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. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We're 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 3-4 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. 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) Rates: $50-$150/hour, based on experience and skill level. Engagement Details Seniority level: Mid-Senior level Employment type: Contract Job function: Information Technology and Engineering Industry: Software Development