Turing

2 days ago Be among the first 25 applicants We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality Why Join Us? Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research. What does day-to-day look like: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Experience working with well-maintained, widely-used repositories with 500+ stars Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Commitment required: 20 hours per week with some overlap with PST Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 1 month with expected start date as next week Seniority level Seniority levelMid-Senior level Employment type Employment typeContract Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Turing by 2x Get notified about new Software Engineer jobs in San Francisco, CA . Software Engineer Internship (12 months) San Francisco, CA $150,000.00-$175,000.00 3 weeks ago Software Engineer Intern/Co-op (Fall 2025)Software Engineer, Python - AI Training (Freelance, Remote)Software Engineer, SQL - AI Training (Freelance, Remote)Coders - AI Training (Freelance, Remote)Software Engineer, TypeScript - AI Training (Freelance, Remote)Software Engineer - AI Training (Freelance, Remote) Alameda, CA $120,000.00-$160,000.00 3 months ago Software Engineer, C# - AI Training (Freelance, Remote) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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 What Does a Typical Day Look Like? 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. Qualifications & Requirements 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. 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) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) 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 and earn money from your network.

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

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 What Does a Typical Day Look Like? 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 (+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. 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) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) 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 and earn money from your network.

Job Overview Turing, based in San Francisco, is a leading research accelerator for frontier AI labs and partners with global enterprises to deploy advanced AI systems. Project Overview Turing supports customers by (1) accelerating frontier research with high-quality data, advanced training pipelines, and top AI researchers; and (2) applying that expertise to help enterprises transform AI from proof of concept into reliable, impact driven systems. Typical Day Evaluate and refine AI-generated code to ensure it is efficient, scalable, and reliable. Collaborate with cross functional teams to improve 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 +5 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. 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). Location: Candidates must be based out of US, Canada or Western Europe (UK, Netherlands, Italy, Germany, etc.). Additional Information Note: As part of the assessment 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. Senioriy Level Entry level Employment Type Contract Job Function Technology, Information and Internet Know amazing talent? Refer them at and earn money from your network.

1 day ago Be among the first 25 applicants 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 What Does a Typical Day Look Like? 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 (+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. 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) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) 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 and earn money from your network.

Job Overview We are seeking a Python Developer with strong expertise in FastAPI to join an exciting Reinforcement Learning (RL) Gym project. You will design, build, and optimize scalable APIs, collaborate with researchers and engineers, and deliver high-quality backend services to support reinforcement learning experiments and simulations. Prior RL Gym experience is not mandatory but would be a plus. Day-to-day life Design, build, and maintain FastAPI-based services for experimentation workflows and simulation environments. Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking. Write efficient, production-grade Python code with a strong emphasis on scalability and maintainability. Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications. Requirements 5+ years of professional Python development experience including 3+ years of strong experience in FastAPI Experience with REST APIs, async programming, and API lifecycle management. Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns). Familiarity with NumPy, Pandas, and PyTorch/TensorFlow is a plus. Good to have: Exposure to Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments) & SQL experience Bachelor's or Master's degree in Computer Science, Engineering, or related field. Perks Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement) Location: US Evaluation Process Technical Interview focused on Python and FastAPI 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.

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: What Does a Typical Day Look Like? 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 (+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. 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) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) 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 and earn money from your network. Seniority level Entry level Employment type Contract Job function Technology, Information and Internet

A leading AI research accelerator is seeking an experienced software engineer based in the United States. This contractor role requires a minimum of 10 hours per week, with responsibilities including evaluating AI-generated code, collaborating with cross-functional teams, and designing verification mechanisms for software engineering tasks. Ideal candidates have 5+ years of experience in software engineering, expertise in full-stack application development, and excellent communication skills. The job offers potential for extension based on performance.

A leading AI research company based in San Francisco is seeking a skilled software engineer with over 5 years of experience, including 2 years at a top-tier product company. The role involves evaluating AI-generated code, collaborating on AI-driven solutions, and designing verification mechanisms. Candidates must be based in the US, Canada or specific European countries. This is a contractor position with flexible hours (10-40 hours/week) and a duration of 1 month, with potential extensions based on performance.

A leading research accelerator for AI located in San Francisco is looking for a software engineer to evaluate and enhance AI-generated code. The role requires at least 5 years of experience and proficiency in building full-stack applications using modern technologies. Candidates must demonstrate a strong understanding of software architecture, debugging, and possess excellent communication skills. The position is contract-based, requiring 10 to 40 hours of engagement weekly, with potential for extensions based on performance.

A leading AI research accelerator in San Francisco is looking for an experienced Software Engineer to evaluate AI-generated code for efficiency and reliability. You will work closely with cross-functional teams to develop innovative coding solutions and design verification mechanisms. Candidates must have over 5 years of software engineering experience, including significant time at a top-tier product company. This is a contractor role with a flexible commitment from 10 to 40 hours per week, starting next week.

A leading AI research accelerator in San Francisco is hiring an entry-level contractor for software engineering tasks. Responsibilities include refining AI-generated code, enhancing coding solutions, and designing verification mechanisms. Ideal candidates will have over 5 years in software engineering, with experience at top-tier companies. Flexible engagement of 10-40 hours per week is required. This is an exciting opportunity to work in a dynamic environment focused on advanced AI.

A leading AI research accelerator is looking for a skilled software engineer based in the US or Canada. This contractor role involves evaluating AI-generated code, collaborating with teams, and designing verification mechanisms. Candidates should have over 5 years of experience, strong knowledge of software architecture, and excellent communication skills. The position requires a minimum of 10 hours per week, with a duration of 1 month and potential extensions based on performance.

A leading AI research accelerator is seeking software engineers with over 5 years of experience in building scalable applications. The role requires collaboration on AI-driven solutions and a commitment of 10 to 40 hours per week, with the opportunity for extension based on performance. Candidates should be located in the US, Canada, or Western Europe. This contract role does not offer medical or paid leave and starts next week.

A leading research accelerator in AI is seeking experienced software engineers to evaluate AI-generated code and enhance coding solutions. Candidates should have over 5 years of software engineering experience and clear communication skills. This role offers flexible commitment, working up to 40 hours per week with remote options available for candidates based in the US. There is potential for extension based on performance. The position is contract-based with no medical benefits.

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: 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 (+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. 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) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) 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 and earn money from your network.

A leading tech company based in San Francisco is looking for an experienced software engineer to evaluate and refine AI-generated code, collaborate with teams on AI-driven solutions, and build agents for code verification. The ideal candidate should have over 5 years of experience, including at least 2 years at a top-tier company. This is a contractor position with flexible engagement of 10-40 hours per week. Apply to join a dynamic team pushing the boundaries of AI technology.

A leading AI research accelerator is looking for an experienced software engineer to evaluate and refine AI-generated code and collaborate with teams to enhance AI-driven coding solutions. Candidates should have several years of software engineering experience, including time at top-tier companies. This contractor position offers flexibility and requires a commitment of at least 10 hours a week. The role starts next week for a duration of 1 month, with potential for extension based on performance.

A leading AI research accelerator is seeking a contractor with extensive software engineering experience to evaluate and refine AI-generated code, collaborate across teams, and design verification mechanisms for software tasks. Ideal candidates will have 5+ years in software development with strong full-stack skills and must be capable of effective communication. The role offers a flexible engagement of 10 to 40 hours per week, starting next week, with potential for extensions based on performance.