Turing

Create and evaluate AI training datasets, refine AI-generated code, and collaborate on AI-driven coding solutions. | Several years of software engineering experience with strong Python skills, full-stack development, software architecture understanding, and excellent communication. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? - Work 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. - 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. - Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: - The application process takes 15–30 minutes. - Completion of an AI video interview is required.

Create and evaluate AI training datasets and code solutions primarily in Python and other languages. | Several years of software engineering experience with strong Python skills and full-stack development knowledge. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? - Work 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. - 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. - Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: - The application process takes 15–30 minutes. - Completion of an AI video interview is required.

Create and evaluate AI training datasets, refine AI-generated code, and collaborate on AI-driven coding solutions primarily using Python and other languages. | Several years of software engineering experience with strong Python expertise, full-stack development skills, and excellent communication abilities. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? - Work 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. - 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. - Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: - The application process takes 15–30 minutes. - Completion of an AI video interview is required.

Curate and evaluate AI-generated code, build verification tools, and collaborate on AI-driven coding solutions. | Several years of software engineering experience with strong Python expertise and full-stack development skills. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? - Work 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. - 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. - Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: - The application process takes 15–30 minutes. - Completion of an AI video interview is required.

Create and evaluate AI training datasets by curating and correcting code primarily in C++ and other languages, collaborating with researchers and cross-functional teams. | Several years of software engineering experience with strong full-stack and software architecture skills, plus excellent communication abilities. | 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; 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 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.

Lead IT projects and evaluate AI systems to enhance enterprise technology management. | 4+ years IT management experience, strong IT project management, cloud platform familiarity, and excellent communication skills. | Turing is looking for candidates with strong experience in information systems management, project leadership, and enterprise technology strategy. Role overview: - In this role, you will contribute to projects that help evaluate and enhance AI systems using your IT leadership and systems management expertise. - No prior AI experience is required. - These projects will help you explore how AI can be leveraged to advance digital transformation, automation, and data-driven decision-making across enterprise technology environments. What does day-to-day look like: - Design and solve real-world IT operations and systems management scenarios to test AI reasoning. - Write clear, structured solutions covering IT governance, system integration, cybersecurity, and project delivery. - Evaluate AI responses for accuracy, professionalism, and technical soundness. - Collaborate with researchers to refine AI understanding of technology lifecycle management, strategic planning, and enterprise infrastructure. Requirements: - 4+ years of experience as an IT Manager, Systems Administrator, or Technology Project Manager. - Background in Computer Science, Information Systems, or a related field. - Strong understanding of IT project management, software delivery, and security protocols. - Familiarity with cloud platforms (AWS, Azure, GCP) and enterprise software systems. - Excellent English communication and documentation skills. Perks of freelancing with Turing & offer details: - Strong compensation (exact amount varies by project). - Fully remote work environment. - Engagement type: Contractor assignment/freelancer, potentially full-time. - Duration of projects: approximately 1 month, with the possibility for extension. About Turing: 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 coding, 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 P&L.

Contribute procurement expertise to AI projects by designing sourcing scenarios and evaluating AI responses. | 4+ years procurement experience, bachelor's degree in related field, supplier management and procurement systems knowledge. | Turing is looking for candidates with strong experience in procurement, supply chain management, and vendor negotiation. Role overview: - In this role, you will contribute to projects that help evaluate and enhance AI systems using your procurement expertise and analytical decision-making skills. - No prior AI experience is required. - These projects will help you explore how AI can be leveraged to optimize sourcing, improve forecasting, and support data-driven purchasing decisions across global supply chains. What does day-to-day look like: - Design and solve real-world procurement and supply chain scenarios to test AI reasoning. - Write clear, structured solutions covering supplier evaluation, cost analysis, inventory management, and contract negotiation. - Evaluate AI responses for accuracy, efficiency, and strategic insight. - Collaborate with researchers to refine AI understanding of sourcing strategies, market analysis, and purchasing workflows. Requirements: - 4+ years of experience as a Buyer, Procurement Specialist, or Purchasing Agent. - Candidates must have obtained a Bachelor’s degree in Business Administration, Supply Chain Management, Finance, Economics or related fields. - Strong understanding of supplier management, pricing strategy, and procurement systems (e.g., SAP, Oracle, Coupa). - Comfortable using web-based tools for data review and annotation. - Strong English communication and analytical reasoning skills. Perks of freelancing with Turing: - Strong compensation (exact amount varies by project). - Fully remote work environment. - Engagement type: Contractor assignment/freelancer, potentially full-time. - Duration of projects: approximately 1 month, with the possibility for extension. What Turing is NOT seeking from your expertise: - Confidential or proprietary information from any employer, university, etc. - Trade secrets or internal company or university data. - Specific client information or case details. - Any information that would violate NDAs, employment agreements or other confidentiality obligations. About Turing: 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 coding, 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 P&L.

Develop and evaluate AI-driven backend and frontend code, collaborate with researchers and cross-functional teams to improve AI coding solutions, and design verification mechanisms for software engineering tasks. | Several years of software engineering experience with strong skills in Python and JavaScript full-stack development, software architecture, debugging, and excellent communication skills. | 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; 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 P&L. Ideal Background: This 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 leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside 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. What Does a Typical Day Look Like? - Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go. - Evaluate and refine AI-generated code across backend and frontend contexts 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 across full-stack applications. - 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 using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases. - Experience 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 in the United States. Evaluation Process: - The application process takes 15–30 minutes. - Completion of an AI video interview is required. Remote Skills: Apple, Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Benchmarking, Building Codes, C Programming Language, C++ Programming Language, Code Reviews, Communication Skills, Cross-Functional, Customer Support/Service, Data Quality, Data Sets, Debugging Skills, Design Verification, Engineering, Java, Logical Software CTI Solutions, Microsoft Product Family, Modeling Languages, Node.js, Presentation/Verbal Skills, Production Systems, Profit & Loss, Proof of Concept, Prototyping, Python Programming/Scripting Language, React.js, Software Architecture Design, Software Engineering, Software Evaluation, User Interface/Experience (UI/UX), Writing Skills undefined: Turing

Manage IT operations and systems projects to evaluate and enhance AI systems in enterprise environments. | Requires 4+ years IT management experience, strong project management and security knowledge, and familiarity with cloud platforms. | Turing is looking for candidates with strong experience in information systems management, project leadership, and enterprise technology strategy. Role overview: - In this role, you will contribute to projects that help evaluate and enhance AI systems using your IT leadership and systems management expertise. - No prior AI experience is required. - These projects will help you explore how AI can be leveraged to advance digital transformation, automation, and data-driven decision-making across enterprise technology environments. What does day-to-day look like: - Design and solve real-world IT operations and systems management scenarios to test AI reasoning. - Write clear, structured solutions covering IT governance, system integration, cybersecurity, and project delivery. - Evaluate AI responses for accuracy, professionalism, and technical soundness. - Collaborate with researchers to refine AI understanding of technology lifecycle management, strategic planning, and enterprise infrastructure. Requirements: - 4+ years of experience as an IT Manager, Systems Administrator, or Technology Project Manager. - Background in Computer Science, Information Systems, or a related field. - Strong understanding of IT project management, software delivery, and security protocols. - Familiarity with cloud platforms (AWS, Azure, GCP) and enterprise software systems. - Excellent English communication and documentation skills. Perks of freelancing with Turing & offer details: - Strong compensation (exact amount varies by project). - Fully remote work environment. - Engagement type: Contractor assignment/freelancer, potentially full-time. - Duration of projects: approximately 1 month, with the possibility for extension. About Turing: 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 coding, 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 P&L.

Create and evaluate AI training datasets and code solutions primarily in Python and JavaScript, collaborating with researchers and cross-functional teams. | Several years of software engineering experience with strong Python and JavaScript expertise, full-stack development, and excellent communication skills. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? • Work 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. • 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. • Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: • The application process takes 15–30 minutes. • Completion of an AI video interview is required.

Evaluate and refine AI-generated code, curate code examples, and collaborate on AI-driven coding solutions primarily using Python and JavaScript. | Several years of software engineering experience with strong Python expertise, full-stack development skills, and excellent communication abilities. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? • Work 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. • 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. • Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: • The application process takes 15–30 minutes. • Completion of an AI video interview is required.

Create and evaluate AI training datasets and code solutions primarily in Python, collaborating with researchers and cross-functional teams. | Several years of software engineering experience with strong Python expertise, full-stack development, software architecture, and excellent communication skills. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? • Work 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. • 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. • Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: • The application process takes 15–30 minutes. • Completion of an AI video interview is required.

Evaluate and refine AI-generated code primarily in Go and other languages to support AI model training and enterprise AI solutions. | Several years of software engineering experience, strong full-stack and scalable software development skills, and excellent communication for evaluation rationales. | 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; 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 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 Go, as well as in Python, JavaScript (including ReactJS), C/C++, Java, and Rust; 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 Go, along with Python, JavaScript (including ReactJS), C/C++, Java, and Rust. • 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 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.

Evaluate and refine AI-generated code primarily in Python and JavaScript, collaborating with cross-functional teams to enhance AI-driven coding solutions. | Several years of software engineering experience with strong Python expertise, full-stack application development, and excellent communication skills. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? • Work 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. • 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. • Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: • The application process takes 15–30 minutes. • Completion of an AI video interview is required.

Evaluate and refine AI-generated code primarily in Go and collaborate with teams to enhance AI-driven coding solutions. | Several years of software engineering experience with strong full-stack and software architecture skills, plus excellent communication. | 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; 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 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 Go, as well as in Python, JavaScript (including ReactJS), C/C++, Java, and Rust; 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 Go, along with Python, JavaScript (including ReactJS), C/C++, Java, and Rust. • 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 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.

Create and evaluate AI training datasets and code solutions primarily in Python, collaborating with researchers and cross-functional teams. | Several years of software engineering experience with strong Python expertise, full-stack development, software architecture knowledge, and excellent communication skills. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? • Work 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. • 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. • Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: • The application process takes 15–30 minutes. • Completion of an AI video interview is required.

Create and evaluate AI training datasets and code solutions primarily in Python, collaborating with researchers and cross-functional teams. | Several years of software engineering experience with strong Python expertise, full-stack development, software architecture knowledge, and excellent communication skills. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? • Work 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. • 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. • Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: • The application process takes 15–30 minutes. • Completion of an AI video interview is required.

Create and evaluate AI training datasets by curating and refining code primarily in Python and other languages, collaborating with researchers and cross-functional teams. | Several years of software engineering experience with strong Python expertise, full-stack development skills, software architecture knowledge, and excellent communication. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? • Work 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. • 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. • Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: • The application process takes 15–30 minutes. • Completion of an AI video interview is required.

Evaluate and refine AI-generated code, curate code examples, and collaborate on AI-driven coding solutions primarily using Python and JavaScript. | Several years of software engineering experience, strong Python expertise, full-stack development skills, and excellent communication abilities. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? • Work 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. • 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. • Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: • The application process takes 15–30 minutes. • Completion of an AI video interview is required.

Curate and evaluate AI-generated Python code and collaborate with teams to improve AI-driven coding solutions. | Several years of software engineering experience with strong Python expertise and excellent communication skills. | 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; 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 P&L. Ideal Background: This 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. 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 — 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. What Does a Typical Day Look Like? • Work 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. • 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. • Experience building full-stack applications and deploying scalable 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 in the United States Evaluation Process: • The application process takes 15–30 minutes. • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.